Eligibility traces and plasticity on behavioral time scales: experimental support of neohebbian three-factor learning rules

W Gerstner, M Lehmann, V Liakoni… - Frontiers in neural …, 2018 - frontiersin.org
Most elementary behaviors such as moving the arm to grasp an object or walking into the
next room to explore a museum evolve on the time scale of seconds; in contrast, neuronal …

The log-dynamic brain: how skewed distributions affect network operations

G Buzsáki, K Mizuseki - Nature Reviews Neuroscience, 2014 - nature.com
We often assume that the variables of functional and structural brain parameters—such as
synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural …

[KNIHA][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

A survey on neuromorphic computing: Models and hardware

A Shrestha, H Fang, Z Mei, DP Rider… - IEEE Circuits and …, 2022 - ieeexplore.ieee.org
The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …

The building blocks of a brain-inspired computer

JD Kendall, S Kumar - Applied Physics Reviews, 2020 - pubs.aip.org
Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …

Neurophysiological and computational principles of cortical rhythms in cognition

XJ Wang - Physiological reviews, 2010 - journals.physiology.org
Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …

[KNIHA][B] Spiking neuron models: Single neurons, populations, plasticity

W Gerstner, WM Kistler - 2002 - books.google.com
Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …

STDP and STDP variations with memristors for spiking neuromorphic learning systems

T Serrano-Gotarredona, T Masquelier… - Frontiers in …, 2013 - frontiersin.org
In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-
Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual …

Synaptic plasticity: taming the beast

LF Abbott, SB Nelson - Nature neuroscience, 2000 - nature.com
Synaptic plasticity provides the basis for most models of learning, memory and development
in neural circuits. To generate realistic results, synapse-specific Hebbian forms of plasticity …

A survey of robotics control based on learning-inspired spiking neural networks

Z Bing, C Meschede, F Röhrbein, K Huang… - Frontiers in …, 2018 - frontiersin.org
Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …