Cognitive and computational Unit test

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Last updated 3:30 PM on 4/2/26
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30 Terms

1
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Hippocampus

  • episodic memory encoding and retrieving

  • spatial navigation

  • contextual representation

<ul><li><p>episodic memory encoding and retrieving</p></li><li><p>spatial navigation</p></li><li><p>contextual representation</p></li></ul><p></p>
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Thalamus

gates information flow based on attentional state and arousal

<p>gates information flow based on attentional state and arousal</p>
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Pulvinar

filters and routes information based on tasks and commands

<p>filters and routes information based on tasks and commands</p>
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Amygdala

  • emotional evaluation

  • salience detection

  • social cognition

<ul><li><p>emotional evaluation</p></li><li><p>salience detection</p></li><li><p>social cognition</p></li></ul><p></p>
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Caudate

Computes action values given current goals

<p>Computes action values given current goals</p>
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Putamen

Associates stimuli with responses based on learned context

<p>Associates stimuli with responses based on learned context</p>
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Nucleus Accumbens

integrates motivational state with action selection

<p>integrates motivational state with action selection</p>
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Substantia Nigra

Signals prediction errors—what's unexpected given current expectations

<p>Signals prediction errors—what's unexpected given current expectations</p>
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Cortico-subcortical Loops

Information relay process that has information flow bidirectionally

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<p>The Canonical Equation: R</p>

The Canonical Equation: R

The neural response— how active the neuron becomes

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<p>The Canonical Equation: <span><strong>γ (gamma)</strong></span></p>

The Canonical Equation: γ (gamma)

a scaling factor for overall response magnitude

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<p>The Canonical Equation: D</p>

The Canonical Equation: D

The driving input, the stimulus the neuron is turned to

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The Canonical Equation: σ (sigma)

the “transition point” controlling when context dominates

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<p>The Dendritic Equation: V<sub>m</sub></p>

The Dendritic Equation: Vm

Membrane potential— the neuron’s output voltage

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<p>The Dendritic Equation: g<sub>E</sub>, g<sub>L</sub>, g<sub>I </sub></p>

The Dendritic Equation: gE, gL, gI

Conductances— how open each channel is (excitatory, inhibitory, leak)

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<p>The Dendritic Equation: E<sub>I, </sub>E<sub>L, </sub>E<sub>E</sub></p>

The Dendritic Equation: EI, EL, EE

Reversal Potentials—the voltage each channel type pulls towards

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The Dendritic Equation: Numerator

  • weighted sum of reversal potentials

  • each input’s vote on where the membrane potential should go

  • weighted by how open its channels are

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The Dendritic Equation: Denominator

  • The sum of all open channels and how open each one is

  • The Divisor

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LFP (Local Field Potential)

  • Electrical fields from nearby neurons

  • measured with electrodes inside brain

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EEG (Electroencephalography)

  • measures summed electrical dipoles through he scalp

  • Non-invasive millisecond timing

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MEG (magnetoencephalography)

  • magnetic fields outside head

  • non-invasive, excellent localization

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BOLD Signal (Blood Oxygen Level Dependent)

  • Measure of changes in the ratio of oxygenated to deoxygenated hemoglobin in the blood near neural tissue

  • reflects the input to neurons

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