A review of learning in biologically plausible spiking neural networks

A Taherkhani, A Belatreche, Y Li, G Cosma… - Neural Networks, 2020 - Elsevier
Artificial neural networks have been used as a powerful processing tool in various areas
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …

[HTML][HTML] The molecular and systems biology of memory

ER Kandel, Y Dudai, MR Mayford - Cell, 2014 - cell.com
Learning and memory are two of the most magical capabilities of our mind. Learning is the
biological process of acquiring new knowledge about the world, and memory is the process …

High‐contrast bidirectional optoelectronic synapses based on 2D molecular crystal heterojunctions for motion detection

X Zhu, C Gao, Y Ren, X Zhang, E Li, C Wang… - Advanced …, 2023 - Wiley Online Library
Light‐stimulated optoelectronic synaptic devices are fundamental compositions of the
neuromorphic vision system. However, there are still huge challenges to achieving both …

Reward signals in the cerebellum: origins, targets, and functional implications

D Kostadinov, M Häusser - Neuron, 2022 - cell.com
The cerebellum has long been proposed to play a role in cognitive function, although this
has remained controversial. This idea has received renewed support with the recent …

Synaptic plasticity: multiple forms, functions, and mechanisms

A Citri, RC Malenka - Neuropsychopharmacology, 2008 - nature.com
Experiences, whether they be learning in a classroom, a stressful event, or ingestion of a
psychoactive substance, impact the brain by modifying the activity and organization of …

Distinct dopamine receptor pathways underlie the temporal sensitivity of associative learning

A Handler, TGW Graham, R Cohn, I Morantte… - Cell, 2019 - cell.com
Animals rely on the relative timing of events in their environment to form and update
predictive associations, but the molecular and circuit mechanisms for this temporal …

Distributed synergistic plasticity and cerebellar learning

Z Gao, BJ Van Beugen, CI De Zeeuw - Nature Reviews Neuroscience, 2012 - nature.com
Studies on synaptic plasticity in the context of learning have been dominated by the view
that a single, particular type of plasticity forms the underlying mechanism for a particular type …

Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition

E D'Angelo, S Casali - Frontiers in neural circuits, 2013 - frontiersin.org
Following the fundamental recognition of its involvement in sensory-motor coordination and
learning, the cerebellum is now also believed to take part in the processing of cognition and …

Group 1 mGluR-dependent synaptic long-term depression: mechanisms and implications for circuitry and disease

C Lüscher, KM Huber - Neuron, 2010 - cell.com
Many excitatory synapses express Group 1, or Gq coupled, metabotropic glutamate
receptors (Gp1 mGluRs) at the periphery of their postsynaptic density. Activation of Gp1 …

Introduction to spiking neural networks: Information processing, learning and applications

F Ponulak, A Kasinski - Acta neurobiologiae experimentalis, 2011 - ane.pl
The concept that neural information is encoded in the firing rate of neurons has been the
dominant paradigm in neurobiology for many years. This paradigm has also been adopted …