L6 Neurons/memory Flashcards

(10 cards)

1
Q

substrates for persistent activity (memory storage)

A
  • basal ganglia-thalamcortical loops
  • Reciprocal loops between cortical areas
  • Local recurrent excitatory cortical network
  • Biophysical – graded stability of membrane potential to brief inputs
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2
Q

what is the neuropharmacology of persistent cortical activity

A

certain neurons fire in a delayed match-sample task - responsible for STM encoding?
NMDA blockers prevent…
also activation of D1 receptors
evidence suggests synergism between L-Glu (NMDA) and DA systems - not effective alone

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3
Q

how is a memory represented?

A

by a subset of pyramidal neurons firing in synchrony!!!

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4
Q

what is the binding problem? how is it solved?

A

how it can work that these different, small aspects or features are linked together to create a larger internal representation/perception
solved by gamma/theta

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5
Q

What is sequencing

A

organisation of persistent cortical activity
- sequence presented over 5-9 gamma cycles
- repeated over several theta cycles

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6
Q

what do theta/gamma do

A
  • Gamma oscillation ensures the precise time of firing in a subset of pyramidal neurons through fast membrane potential depolarisation
  • Theta oscillation – a carrier wave that organises info about a moment in time and synchrony across hippocampus and other cortical areas
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7
Q

how do theta/gamma operate?

A
  • both gamma and theta depend on local feedback GABAergic inhibition and rhythmic IPSP input to ensure timing
  • also theta is extrinsic - can be driven by other oscillators outside the hippocampal formation
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8
Q

what other oscillators use theta

A
  • entorhinal cortex - glutamatergic input
  • medial septal nucleus (MSn) and diagonal band of Broca (DBB) - both mixture of GABAergic and cholinergic inputs
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9
Q

what is Hebb’s rule

A

if repeatedly active at same time association will form
LTP needs sustained pre and post synaptic activation to increase synaptic efficiency

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10
Q

How do associated memories activate each other?

A

bidirectional connections between nodes are initially weak, but automatically strengthened by conjoined activity
- image recognition software uses this
- only connections between active nodes strengthened
- can be activated by an input that only activates a few nodes, and ends up activating the rest of the network
CAN STILL HAPPEN WITH DEGRADED PATTERN

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