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Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector

Related publications (27)

Fast adaptation to rule switching using neuronal surprise

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In humans and animals, surprise is a physiological reaction to an unexpected event, but how surprise can be linked to plausible models of neuronal activity is an open problem. We propose a self-supervised spiking neural network model where a surprise signa ...

2024

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, Giuseppe Chindemi, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander

Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms and protocols for the induction of plasticity between pairs of neurons, how these synaptic changes are coordinated in biologica ...

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A theory of memory consolidation and synaptic pruning in cortical circuits

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Over the course of a lifetime, the human brain acquires an astonishing amount of semantic knowledge and autobiographical memories, often with an imprinting strong enough to allow detailed information to be recalled many years after the initial learning exp ...

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Principles of Network Plasticity in Neocortical Microcircuits

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Synaptic plasticity underlies our ability to learn and adapt to the constantly changing environment. The phenomenon of synapses changing their efficacy in an activity-dependent manner is often studied in small groups of neurons in vitro or indirectly throu ...

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Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

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Plasticity of sensory representations in the posterior insular cortex during fear learning

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Aversively-motivated associative learning allows animals to avoid harm and thus ensures survival. Aversive learning can be studied by the fear learning paradigm, in which an innocuous sensory stimulus like a tone (conditioned stimulus, CS), acquires a nega ...

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Increased functional connectivity in the right dorsal auditory stream after a full year of piano training in healthy older adults

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Learning to play an instrument at an advanced age may help to counteract or slow down age-related cognitive decline. However, studies investigating the neural underpinnings of these effects are still scarce. One way to investigate the effects of brain plas ...

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Humans and animals constantly adapt to their environment over the course of their life. This thesis seeks to integrate various timescales of adaptation, ranging from the adaptation of synaptic connections between spiking neurons (milliseconds), rapid behav ...

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Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector

Fast adaptation to rule switching using neuronal surprise

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

A theory of memory consolidation and synaptic pruning in cortical circuits

Principles of Network Plasticity in Neocortical Microcircuits

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Engram cell connectivity as a mechanism for information encoding and memory function

Plasticity of sensory representations in the posterior insular cortex during fear learning

Increased functional connectivity in the right dorsal auditory stream after a full year of piano training in healthy older adults

From event-based surprise to lifelong learning. A journey in the timescales of adaptation

Graph Chatbot

Fast adaptation to rule switching using neuronal surprise

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

A theory of memory consolidation and synaptic pruning in cortical circuits

Principles of Network Plasticity in Neocortical Microcircuits

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Engram cell connectivity as a mechanism for information encoding and memory function

Plasticity of sensory representations in the posterior insular cortex during fear learning

Increased functional connectivity in the right dorsal auditory stream after a full year of piano training in healthy older adults

From event-based surprise to lifelong learning. A journey in the timescales of adaptation

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback