Brain theories {neural modeling} {brain theory} {computational neuroscience} model membrane currents, chemical changes, network oscillations, microcolumns, macrocolumns, and cell configurations to study learning and memory (Eric L. Schwartz).
viewpoint dependence
Real vision stores different viewpoints and matches similar schema.
single-neuron models
Neuron membranes have fast sodium-ion out-currents and later slower potassium-ion in-currents, as well as calcium ion, chloride ion, and other chemical flows, which affect action potential, adaptation, and shunting.
Dendrites and axons have structures and patterns.
Synapses have ion and chemical flows.
synapse plasticity
Synapse structure and physiology change over time with electrical and chemical flows. Feedback can alter weights in Hebbian learning.
More stable synapses learn and forget slower. Less stable synapses learn and forget faster. Systems use slow and fast plasticity combinations.
neural coding
Neurons have preferred stimuli. Neural coding can use instantaneous or average impulse frequency for rate coding. Impulses can code intensity, which can represent stimulus amplitude or stimulus probability.
Neuron signaling uses minimal number of impulses to convey information (Horace Barlow).
neural inhibition and excitation
Inhibition can subtract or divide. Excitation can add or multiply. Adding and subtracting accumulate same stimulus type, to pass or not pass threshold and determine whether to perform action. Multiplying and dividing represent stimulus interactions and feature pairing, to allow object detection or recognition.
neuron development
Neurons, axons, and dendrites migrate and grow. Migration and growth use hormone and growth-factor chemical gradients. For efficiency, wiring patterns are optimal in spacing and number {minimal wiring hypothesis}.
Sense physiology uses Bayesian inference, to reflect conditional rules.
neural networks
Neurons connect specifically to each other and use recurrence. Models use neuron pairs.
memory
Memory can be associative or content-addressable. Hippocampus models are for long-term memory. Prefrontal-cortex models are for working memory. Memory can use phase synchrony and wave resonance.
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Date Modified: 2022.0224