On higher order computations and synaptic meta-plasticity in the human brain: IT point of view (June, 2016)

03/07/2016
by   Stanislaw Ambroszkiewicz, et al.
0

Glia modify neuronal connectivity by creating structural changes in the neuronal connectome. Glia also influence the functional connectome by modifying the flow of information through neural networks (Fields et al. 2015). There are strong experimental evidences that glia are responsible for synaptic meta-plasticity. Synaptic plasticity is the modification of the strength of connections between neurons. Meta-plasticity, i.e. plasticity of synaptic plasticity, may be viewed as mechanisms for dynamic reconfiguration of neuron circuits. First order computations in the brain are done by static neuron circuits, whereas higher order computations are done by dynamic reconfigurations of the links (synapses) between the neuron circuits. Static neuron circuits correspond to first order computable functions. Synapse creation correspond to the mathematical notion of function composition. Functionals are higher order functions that take functions as their arguments. The construction of functionals is based on dynamic reconfigurations of the function composition. Perhaps the functionals correspond to the meta-plasticity in the human brain.

READ FULL TEXT
research
05/07/2018

Superconducting Optoelectronic Neurons II: Receiver Circuits

Circuits using superconducting single-photon detectors and Josephson jun...
research
05/04/2018

Superconducting Optoelectronic Neurons III: Synaptic Plasticity

As a means of dynamically reconfiguring the synaptic weight of a superco...
research
06/29/2021

Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity

Biological synaptic plasticity exhibits nonlinearities that are not acco...
research
04/04/2019

Fluxonic Processing of Photonic Synapse Events

Much of the information processing performed by a neuron occurs in the d...
research
05/12/2014

A Neuron as a Signal Processing Device

A neuron is a basic physiological and computational unit of the brain. W...
research
01/05/2016

The high-conductance state enables neural sampling in networks of LIF neurons

The apparent stochasticity of in-vivo neural circuits has long been hypo...
research
02/25/2018

Sparse Network Estimation for Dynamical Spatio-temporal Array Models

Neural field models represent neuronal communication on a population lev...

Please sign up or login with your details

Forgot password? Click here to reset