THE MACHINERY OF ACTION
A Complete Guide to Moving
How the System That Gets You Off the Couch Actually Works
What follows is not advice.
It is not a productivity system. Not a motivational framework. Not another lecture about discipline, willpower, or getting your life together.
It is mechanism.
The actual machinery that turns intention into movement. The circuits that fire before your muscles contract. The architecture that decides, hundreds of milliseconds before you become aware of it, whether you will act or stay still.
Most people experience action as a choice. “I decided to get up.” “I chose to start working.” “I made myself do it.”
None of that is what happened.
What happened was a cascade of neural events that began before your conscious mind was informed. The decision was made. Then you were told about it. Then you claimed authorship.
This document is the blueprint of that cascade.
Nothing more.
What you do with it is your business.
PART ONE: THE DEFAULT IS STILLNESS
The Brain Does Not Want You to Move
This is the first thing to understand and the one most people never will.
The resting state of the brain is not neutral. It is not waiting. It is actively preventing action. The brain’s default configuration suppresses movement, inhibits impulse, and blocks motor output.
You do not need to explain why someone sat on the couch all day.
You need to explain how they ever got off it.
The neural architecture is clear. The basal ganglia, that set of subcortical nuclei at the center of the brain, operates a tonic inhibition system. Its default output is suppressive. It sends continuous inhibitory signals to the thalamus, which in turn suppresses the motor cortex.
The system is always saying no.
THE DEFAULT GATE
┌────────────────────────────────────┐
│ │
│ BASAL GANGLIA │
│ (Striatum + GPi/SNr) │
│ │
│ Default output: INHIBIT │
│ │
│ ┌──────────┐ │
│ │ THALAMUS │ │
│ │ BLOCKED │ │
│ └──────────┘ │
│ ↓ │
│ Motor Cortex: SILENT │
│ ↓ │
│ Muscles: NO CONTRACTION │
│ │
└────────────────────────────────────┘
This is not laziness. This is architecture.
The brain burns roughly 20% of the body’s total energy while comprising 2% of its mass. Movement costs more. Every action requires additional glucose, additional oxygen, additional heat dissipation. The system that evolved to manage energy expenditure in an environment of scarcity does not default to burning.
It defaults to conserving.
The Cost Function
The brain runs a continuous, unconscious cost-benefit analysis on every potential action. This is not metaphor. The anterior cingulate cortex (ACC) literally computes the expected effort cost of an action against its expected reward.
When the cost exceeds the expected reward, the gate stays closed.
When you “cannot make yourself” do something, this is what is happening. The ACC has evaluated the action, found the effort cost too high relative to the reward signal, and the basal ganglia’s inhibitory output remains unchanged.
You experience this as “not feeling like it.”
But what actually happened is a calculation. A real one. In real neurons. With real metabolic inputs.
THE EFFORT COST COMPUTATION
┌─────────────────────────────────────────┐
│ │
│ ANTERIOR CINGULATE CORTEX │
│ │
│ Inputs: │
│ Expected reward → dopamine │
│ Expected effort → metabolic │
│ Current energy → glucose │
│ Opportunity cost → alternative │
│ Fatigue state → adenosine │
│ │
│ Output: │
│ If reward > effort → GO signal │
│ If effort > reward → SUPPRESS │
│ │
└─────────────────────────────────────────┘
This is why the same action can feel effortless at one time and impossible at another. The inputs change. The glucose level changes. The fatigue state changes. The expected reward changes. The same computation runs on different numbers and produces a different result.
The action has not changed. The cost function has.
PART TWO: THE GO SIGNAL
How Inhibition Gets Released
For action to occur, the default suppression must be lifted. The tonic inhibition of the basal ganglia must be temporarily overcome. The gate must open.
This happens through the direct pathway.
When the striatum (the input station of the basal ganglia) receives sufficient dopaminergic activation, a subset of neurons in the direct pathway fires. These neurons inhibit the GPi/SNr (the output station). This inhibition of the inhibitor releases the thalamus. The thalamus then excites the motor cortex. The motor cortex generates the motor command.
Action occurs.
THE DIRECT PATHWAY (GO)
Cortex
↓ (glutamate)
Striatum (D1 neurons)
↓ (GABA - inhibits)
GPi / SNr
↓ (GABA removed - disinhibition)
Thalamus (RELEASED)
↓ (glutamate)
Motor Cortex (FIRES)
↓
Movement
There is also an indirect pathway that reinforces the suppression. And a hyperdirect pathway that provides emergency braking. The three pathways interact constantly, producing the moment-to-moment stream of action and inaction that constitutes a life.
But the core dynamic is simple.
Action is not initiated.
Action is disinhibited.
You do not start moving. You stop being prevented from moving.
This distinction sounds academic. It is not. It changes everything about how you understand the person who “cannot act.” They are not failing to generate a go signal. They are failing to release a brake.
The Readiness Potential
In 1983, Benjamin Libet conducted an experiment that should have changed how every human being understands their own behavior.
He asked subjects to flick their wrist at a time of their choosing while watching a clock. He recorded the moment they reported “deciding” to move. He also recorded the electrical activity of their brains.
The readiness potential, a buildup of electrical activity in the supplementary motor area, began approximately 550 milliseconds before the movement. The conscious awareness of the “decision” to move appeared at approximately 200 milliseconds before the movement.
The brain had already begun preparing the action 350 milliseconds before the person believed they had decided.
LIBET'S TIMELINE
-550ms -200ms 0ms
│ │ │
▼ ▼ ▼
Readiness Conscious Movement
potential awareness begins
begins of "will"
│ │ │
│ │ │
│ 350ms │ 200ms │
│◄───────────►│◄─────────►│
│ │ │
Brain "I" learns Muscles
starts about it contract
The implication is precise. The conscious experience of deciding to act is not the cause of the action. It is a report about a process that already started.
You feel as though you decided. But the decision was made by circuits you do not have conscious access to. You were informed after the fact. And you claimed credit.
This does not mean “free will is an illusion” in any philosophically tidy sense. What it means mechanistically is that the system that initiates action is subcortical, automatic, and runs on inputs you are largely unaware of.
PART THREE: WHAT ACTUALLY STARTS MOVEMENT
The Five Initiation Triggers
If conscious will is a late-arriving report rather than the actual trigger, what does initiate action? The research identifies five primary sources.
INITIATION SOURCES
┌──────────────────────────────────────────┐
│ │
│ 1. ENVIRONMENTAL CUE │
│ External stimulus triggers │
│ associated motor program │
│ │
│ 2. HOMEOSTATIC DRIVE │
│ Internal deficit (hunger, thirst, │
│ temperature) generates urgency │
│ │
│ 3. DOPAMINERGIC ANTICIPATION │
│ Expected reward activates │
│ approach circuitry │
│ │
│ 4. HABITUAL CHAIN │
│ Previous action triggers next │
│ action in learned sequence │
│ │
│ 5. SOCIAL SIGNAL │
│ Presence or expectation of others │
│ shifts cost-benefit computation │
│ │
└──────────────────────────────────────────┘
Notice what is not on the list.
Willpower. Motivation. Self-discipline. The decision to “just do it.”
These are descriptions people give after the fact for processes that were triggered by one of the five sources above. The person who “willed” themselves to exercise was actually responding to an environmental cue (seeing their gym bag), a social signal (their workout partner texted), or a habitual chain (they always go after coffee). The “will” is the story. The trigger is the mechanism.
Source One: The Environment
The single most powerful driver of action is the immediate physical environment. This is not a productivity tip. This is neuroscience.
The visual system processes environmental stimuli and routes them through the ventral stream (identification) and dorsal stream (action planning) simultaneously. When you see an object associated with an action, your motor cortex begins preparing that action before you are aware of it.
This is called affordance perception. The doorknob affords turning. The chair affords sitting. The phone affords picking up.
Gibson described this in 1979. The neuroscience confirmed it decades later.
The person who “cannot act” in one environment and “naturally acts” in another is not experiencing a change in character. They are experiencing a change in affordances. The environment is sending different signals. The motor system is receiving different cues. The cost-benefit computation is running on different inputs.
This is why people who change their physical environment change their behavior, and people who try to change their behavior in the same physical environment almost never do.
The environment is not a context for action.
The environment is a cause of action.
Source Two: The Deficit Signal
Hunger moves you. Not because you decide to eat. Because the hypothalamus detects a glucose deficit, orexigenic neurons fire, AgRP and NPY increase, and the entire motivational architecture of the brain shifts toward food-seeking behavior.
The dopaminergic system amplifies the incentive salience of food-related cues. The ACC revises its cost-benefit computation: the reward of eating has increased, so the effort cost of preparing food is now tolerable.
You get up and walk to the kitchen.
You experience this as “wanting something to eat.”
What happened is that a cascade of neuroendocrine events altered the parameters of a computation that was already running. The output flipped from suppress to go.
Every homeostatic drive operates this way. Thirst. Thermoregulation. Pain avoidance. Sleep pressure. The deficit creates the signal. The signal changes the computation. The computation releases the gate. Movement occurs.
This is the mechanism behind “necessity is the mother of invention.” When the deficit is large enough, the expected reward of resolving it exceeds the expected effort of any available action. The person who “had no choice” had every choice. The computation just produced only one viable output.
Source Three: Dopaminergic Anticipation
This is the source most people misunderstand as “motivation.”
Dopamine does not create pleasure. (See: The Machinery of Desire.) Dopamine creates approach behavior. It creates the energizing signal that says this thing in front of you is worth moving toward.
The mesolimbic dopamine system, projecting from the VTA to the nucleus accumbens, generates what Berridge calls “incentive salience.” Objects, opportunities, and situations that predict reward become imbued with a magnetic quality. You do not decide to approach them. You are pulled.
APPROACH CIRCUITRY
VTA (dopamine neurons)
↓
Nucleus Accumbens
(incentive salience assigned)
↓
Ventral Pallidum
(hedonic evaluation)
↓
Prefrontal Cortex
(action plan constructed)
↓
Basal Ganglia
(gate opened via direct pathway)
↓
Motor Cortex → Movement
This is why you can “motivate” yourself for a video game but not for a spreadsheet. The dopaminergic system has learned, through prior experience, that the game predicts reward. The spreadsheet does not. The anticipatory dopamine fires for one and not the other.
The experienced reward is irrelevant. You might feel better after completing the spreadsheet. But the dopamine system does not care about experienced reward. It cares about predicted reward. About what it has learned to expect.
This is the crux of the action problem.
The system that initiates action runs on prediction, not on truth. It does not ask “what will actually make me feel good?” It asks “what has previously been associated with reward signals?”
Source Four: The Habitual Chain
Once a behavior has been repeated enough times, it transfers from the associative loop of the basal ganglia (which requires cortical input and deliberation) to the sensorimotor loop (which runs automatically from environmental cues).
This is habit formation in mechanical terms.
The action no longer requires the gate to be consciously opened. The environmental trigger directly activates the motor program. Cue, routine, outcome. The cortex is barely involved.
HABIT LOOP (SENSORIMOTOR)
Environment Cue
↓
Dorsolateral Striatum
(pattern matched)
↓
Motor Program
(pre-loaded sequence)
↓
Execution
(automatic, low-effort)
Cortex: MINIMAL INVOLVEMENT
Conscious will: NOT REQUIRED
Effort cost: NEAR ZERO
This is why habits feel effortless. They are. The effort cost in the ACC computation approaches zero because the action is running on cached instructions. No deliberation. No cost-benefit analysis. No gate to open.
The person who “just does it every morning” is not more disciplined than you. Their action has been transferred to a circuit that does not require discipline. Discipline is what you need when the action is still running through the deliberative loop. Once it transfers to the habitual loop, discipline becomes irrelevant.
This is also why habits are hard to break. The motor program is stored in the dorsolateral striatum, which is resistant to extinction. You can override it with prefrontal control, but that requires sustained effortful inhibition. The moment the prefrontal cortex is depleted, fatigued, or distracted, the habitual program reasserts itself.
Source Five: The Social Field
The presence of other people changes the cost-benefit computation in ways that are difficult to overstate.
Social facilitation. The mere presence of others increases arousal, which increases the probability of dominant responses. If the action is well-learned, others make you faster. If the action is novel, others make you worse.
Social obligation. The expected social cost of inaction (judgment, disappointment, status loss) gets added to the cost side of not acting. This can tip the computation. The action that was “too effortful” alone becomes tolerable when someone is watching.
Behavioral contagion. Mirror neurons in the premotor cortex fire when you observe someone else performing an action. This primes your own motor system. Being around people who act makes you more likely to act.
SOCIAL MODULATION OF ACTION
Alone:
Reward of action: ████████░░ (8)
Effort of action: █████████░ (9)
Result: SUPPRESS
With others:
Reward of action: ████████░░ (8)
Effort of action: █████████░ (9)
Social cost of not: ████░░░░░░ (4)
Adjusted cost: █████░░░░░ (5)
Result: GO
This is why accountability partners work. Not because they provide motivation. Because they alter the computation. The social cost of not acting gets factored in. The equation changes. The gate opens.
PART FOUR: THE ENERGY BUDGET
Why You Run Out
The brain operates on a literal energy budget. This is not metaphor. Glucose is consumed. ATP is depleted. The system has a finite capacity for effortful action in any given period.
The prefrontal cortex, which mediates effortful control, is particularly expensive to operate. Sustained attention, inhibition of impulses, deliberate override of habits. Each of these operations burns glucose at elevated rates.
When prefrontal resources are depleted, the system reverts to default.
Default is inaction.
This is what the ego depletion literature documents, even in its revised form. The specific claim about willpower as a single resource may be overstated. But the general finding is robust: effortful self-regulation is a limited-capacity process.
After sustained effort, the probability of action drops. Not because you are weak. Because the system has burned through its fuel for override operations.
ENERGY BUDGET ACROSS A DAY
Morning ████████████████████ Full capacity
Midday ████████████████░░░░ Moderate depletion
Afternoon ██████████░░░░░░░░░░ Significant depletion
Evening █████░░░░░░░░░░░░░░░ Near empty
Override capacity follows the same curve.
Effortful action gets harder.
Habitual action does not.
This is why you can start the day with grand plans and end it on the couch. The plans required prefrontal override. The couch does not. As the budget depleted across the day, the only actions that survived were the ones that did not require effortful initiation.
The solution is mechanical, not moral. Move the actions that require deliberate initiation to the part of the day when the budget is full. Or transfer them to habitual loops so they stop requiring budget at all.
PART FIVE: THE INERTIA PROBLEM
Starting Is Different from Continuing
The cost function for initiating an action is different from the cost function for maintaining it.
Starting requires overcoming the default inhibition. The gate must be opened. The direct pathway must be activated. The readiness potential must build. The entire motor system must transition from resting to active.
This transition has a high fixed cost.
Once the action is underway, the cost drops. Motor programs are running. Sensory feedback loops are active. The dorsal attention network is engaged. The default mode network, which dominates during inaction, has been suppressed.
THE ACTIVATION COST CURVE
Effort
█
█ ╔════╗
█ ║ ║
█ ╔══════════╗ ║ ║
█ ║ STARTING║ ║ ║
█ ║ COST ║ ║ ║
█ ╚══════════╝ ║ ║
█ ╚════╝
█ │ Start │ Run │ Stop │
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
Time
Starting cost > Running cost
This is why "just start" works.
This is Newton’s first law expressed in neural terms. A body at rest tends to stay at rest. A body in motion tends to stay in motion. Not because of physics. Because of the cost function.
The implication is that the single highest-leverage intervention for action is reducing the starting cost. Not reducing the total cost. Not increasing the reward. Reducing the specific cost of the transition from resting to moving.
This is why the “two-minute rule” works mechanically. If you commit to just two minutes of the action, you reduce the perceived starting cost below the threshold. Once the action begins, the running cost takes over, and it is lower. You continue.
Not because you tricked yourself. Because you altered the input to a real computation.
PART SIX: THE COMPETING SYSTEM
The Default Mode Network
When you are not acting, you are not doing nothing. The brain is running the default mode network (DMN). This system, comprising the medial prefrontal cortex, posterior cingulate cortex, and angular gyrus, activates during rest and deactivates during task engagement.
The DMN generates self-referential thought. Rumination. Fantasy. Mental time travel. The narrative of “I.”
It is the system that tells you the story of your life while you sit on the couch.
And it competes with action.
The DMN and the task-positive network (TPN) are anticorrelated. When one activates, the other suppresses. You cannot be deeply engaged in an action and simultaneously lost in self-referential thought.
COMPETING NETWORKS
DMN (rest) TPN (action)
┌──────────┐ ┌──────────┐
│ mPFC │ ←→ │ dlPFC │
│ PCC │ anti- │ FEF │
│ Angular │ corr │ IPS │
└──────────┘ └──────────┘
When DMN is active:
- Self-referential thought
- Rumination
- Planning without acting
- The story of why you can't
When TPN is active:
- Task engagement
- Sensory processing
- Motor execution
- No self-story running
The person who sits all day thinking about what they should be doing is not failing to act. They are successfully running the DMN. The network is doing its job. Generating narrative. Simulating futures. Computing the self in relation to the world.
The problem is that this network, when chronically dominant, prevents the transition to the TPN. The gate stays closed. The action stays suppressed. The person stays in their head.
Breaking this requires an external perturbation strong enough to flip the network balance. An environmental cue. A social signal. A homeostatic drive. Something that forces the TPN to activate and the DMN to yield.
This is why people say “once I started I was fine.” Because once you start, the TPN takes over. The DMN shuts down. The self-referential narrative that was generating all the reasons not to act goes silent.
The obstacle was never the action. The obstacle was the network that runs when action is absent.
PART SEVEN: THE DOPAMINE SCAFFOLD
Why Some People “Just Do Things”
There is a persistent myth that some people have more willpower, more discipline, more internal drive. They do not.
What they have is a different dopamine scaffold.
Through genetics, early experience, and accumulated reinforcement history, the dopamine system in different brains assigns different levels of incentive salience to the same stimuli. The person who “just does things” is not overriding their basal ganglia more effectively. Their basal ganglia is receiving a stronger go signal because their dopamine system has learned to predict reward from those specific actions.
Individual differences in tonic dopamine levels (the baseline level of dopamine in the striatum) directly affect the threshold for action initiation. Higher tonic dopamine = lower threshold = more actions pass the cost-benefit filter.
INDIVIDUAL THRESHOLD DIFFERENCES
Person A (high tonic DA):
Threshold: ████░░░░░░░░░░░░ LOW
Actions that pass: MANY
Appears: "disciplined," "driven"
Person B (low tonic DA):
Threshold: █████████████░░░ HIGH
Actions that pass: FEW
Appears: "lazy," "unmotivated"
Same actions. Same potential rewards.
Different thresholds.
Different behavior.
This is not destiny. The dopamine scaffold is modifiable. Exercise increases tonic dopamine. Sleep restores dopamine receptor sensitivity. Novel experiences create new reward predictions. Successful action completion generates phasic dopamine bursts that strengthen the association between the action and the reward.
But the modification is mechanical. It requires altering the inputs to the system. Not “trying harder.” Not “wanting it more.” Changing the dopaminergic state of the brain through physical interventions that affect the physical system.
PART EIGHT: THE PULL AND THE PUSH
Two Modes of Action
All actions divide into two categories at the neural level.
Approach actions: moving toward something. Driven by the mesolimbic dopamine system. Energized by anticipation. These feel like being pulled.
Avoidance actions: moving away from something. Driven by the amygdala and the fight-or-flight system. Energized by threat detection. These feel like being pushed.
PULL vs PUSH
APPROACH (pull) AVOIDANCE (push)
┌────────────────┐ ┌────────────────┐
│ VTA → NAcc │ │ Amygdala → PAG │
│ Dopamine │ │ Norepinephrine │
│ Anticipation │ │ Cortisol │
│ Wanting │ │ Fear / Urgency │
│ Energized │ │ Stressed │
│ Sustainable │ │ Depleting │
└────────────────┘ └────────────────┘
Both produce action.
Only one is renewable.
The person who acts from deadlines, fear, and last-minute pressure is using the avoidance system. It works. It produces action. But it is metabolically expensive. The cortisol and norepinephrine that drive it have cascading effects on the immune system, the cardiovascular system, and the prefrontal cortex itself.
Chronic avoidance-driven action depletes the system.
The person who acts from curiosity, interest, and anticipated reward is using the approach system. It also works. It also produces action. But the dopaminergic system is designed for sustained operation. It is the system that produced hunting behavior for millions of years. It can run all day.
Most people use a mix. But the ratio matters. A life built primarily on avoidance-driven action feels like it is “always pushing.” A life built primarily on approach-driven action feels like it is “always flowing.”
The feeling is accurate. It is a report about which neural system is doing the driving.
PART NINE: THE MOMENTUM SYSTEM
How Action Breeds Action
Once the gate opens and an action begins, the probability of subsequent action increases. This is not motivational rhetoric. It is a neural cascade.
Successful action completion triggers a phasic dopamine burst. This burst serves as a reward prediction error signal. It tells the dopamine system: this action produced more reward than expected. Next time, assign it higher incentive salience.
The threshold for the next action drops.
The subsequent action is easier to initiate. Which produces another burst. Which drops the threshold further.
THE MOMENTUM CASCADE
Action 1 completed
↓
Phasic DA burst (RPE)
↓
Threshold lowered for Action 2
↓
Action 2 completed (easier start)
↓
Phasic DA burst (RPE)
↓
Threshold lowered for Action 3
↓
...continuing cascade
Each completion LOWERS the barrier
for the next action.
Momentum is a neurochemical event.
This is why productive days feel like they have their own gravity. They do. The dopaminergic system is progressively lowering the threshold for action initiation across the day. Each completed action makes the next one more likely.
And this is why unproductive days feel sticky. The absence of action produces no phasic dopamine burst. The threshold does not lower. The DMN stays dominant. The gate stays closed. Inaction breeds inaction through the same mechanism in reverse.
Momentum is not a feeling. It is a state of the dopaminergic system.
PART TEN: WHAT THIS MEANS
The Mechanical Picture
The complete machinery of action, assembled:
┌──────────────────────────────────────────────┐
│ │
│ ENVIRONMENT provides cues and affordances │
│ ↓ │
│ DOPAMINE SYSTEM assigns incentive salience │
│ ↓ │
│ ACC computes effort cost vs expected reward │
│ ↓ │
│ If reward > cost: │
│ STRIATUM activates direct pathway │
│ ↓ │
│ GPi/SNr inhibited (gate opens) │
│ ↓ │
│ THALAMUS released │
│ ↓ │
│ MOTOR CORTEX fires │
│ ↓ │
│ MOVEMENT occurs │
│ ↓ │
│ PHASIC DA burst (if successful) │
│ ↓ │
│ Threshold lowered for next action │
│ │
│ If cost > reward: │
│ GATE STAYS CLOSED │
│ Inaction continues │
│ │
└──────────────────────────────────────────────┘
The person who does not act is not broken. They are running the system with inputs that produce inaction as the optimal output. Low dopamine. High effort cost. No environmental cues. No social pressure. No homeostatic drive.
The system is working perfectly.
It is producing exactly the behavior that its inputs dictate.
The person who acts “effortlessly” is also not special. They are running the system with inputs that produce action as the optimal output. Adequate dopamine. Low effort cost (habits). Rich environmental cues. Social embedding. Momentum from prior completions.
The system is also working perfectly.
Neither person is choosing. Both are computing. The computation runs on inputs. Change the inputs, and the output changes.
Not because you decided to change.
Because the numbers changed.
And the gate, which only understands numbers, opened.
CITATIONS
Berridge, K. C., & Robinson, T. E. (1998). What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain Research Reviews, 28(3), 309-369.
Libet, B., Gleason, C. A., Wright, E. W., & Pearl, D. K. (1983). Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential). Brain, 106(3), 623-642.
Hikosaka, O., Takikawa, Y., & Kawagoe, R. (2000). Role of the basal ganglia in the control of purposive saccadic eye movements. Physiological Reviews, 80(3), 953-978.
Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Houghton Mifflin.
Raichle, M. E. (2015). The brain’s default mode network. Annual Review of Neuroscience, 38, 433-447.
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences, 102(27), 9673-9678.
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013). The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron, 79(2), 217-240.
Salamone, J. D., & Correa, M. (2012). The mysterious motivational functions of mesolimbic dopamine. Neuron, 76(3), 470-485.
Graybiel, A. M. (2008). Habits, rituals, and the evaluative brain. Annual Review of Neuroscience, 31, 359-387.
Inzlicht, M., & Schmeichel, B. J. (2012). What is ego depletion? Toward a mechanistic revision of the resource model of self-control. Perspectives on Psychological Science, 7(5), 450-463.
Schultz, W. (2016). Dopamine reward prediction error signalling: a two-component response. Nature Reviews Neuroscience, 17(3), 183-195.
Zajonc, R. B. (1965). Social facilitation. Science, 149(3681), 269-274.
RELATED MACHINERIES
- The Machinery of Desire - The wanting system that generates approach behavior
- The Machinery of Habit - How actions transfer from deliberate to automatic
- The Machinery of Attention - The network that selects what the motor system responds to
- The Machinery of Willpower - Why effortful control is finite and how to stop needing it
- The Machinery of Motivation - The prediction system that assigns value to future states