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microcircuits, interneurons, combinatorial coding: one neuron can…
microcircuits
motifs (name coming from how interneuron is activated
feedforward
affect synaptic input
afferents -> principal cell
| 。。。。。 个
V 。。。。。 |
neighboring interneuron
do not need principal cell to be activated in order to be inhibited, EPSC might not be strong enough
e.g. stretch reflex
feedback
affect synaptic output
afferents -> principal cell -> interneuron _个 (principal cell
oscillation
lateral
subcategory of feedforward inhibition
interneuron between two neighboring principal cell, one of them has to be activated and send the signal through the interneuron laterally
principal cell -> interneuron -> principal cell
e.g. some visual illusions like bandes de mach, Klam-
they are not mutually exclusive
definition
networks of neuron to receive input and generate output
input--afferent
output--efferent
divergence/efferent/output level
min
1 to 1
middle
1 to a few
high
1 to many
convergence/input/afferent
min
middle
high
interneurons
often inhibitory
GABA(brain
GABA AR
Cl- channel
reversal potential
-80
-60 (shunting inhibition
glycine(spinal cord
20% of neurons in the brain
more local in general
combinatorial coding: one neuron can represent multiple stimuli