Adaptive dynamical networks
It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …
structural organization. Adaptive dynamical networks represent a broad class of systems that …
Spiking neural networks and online learning: An overview and perspectives
Applications that generate huge amounts of data in the form of fast streams are becoming
increasingly prevalent, being therefore necessary to learn in an online manner. These …
increasingly prevalent, being therefore necessary to learn in an online manner. These …
Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation
Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …
computing systems are gradually inadequate for satisfying the demands of future data …
The spike-timing dependence of plasticity
DE Feldman - Neuron, 2012 - cell.com
In spike-timing-dependent plasticity (STDP), the order and precise temporal interval
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …
A review of organic and inorganic biomaterials for neural interfaces
Recent advances in nanotechnology have generated wide interest in applying
nanomaterials for neural prostheses. An ideal neural interface should create seamless …
nanomaterials for neural prostheses. An ideal neural interface should create seamless …
Plasticity of cortical excitatory-inhibitory balance
RC Froemke - Annual review of neuroscience, 2015 - annualreviews.org
Synapses are highly plastic and are modified by changes in patterns of neural activity or
sensory experience. Plasticity of cortical excitatory synapses is thought to be important for …
sensory experience. Plasticity of cortical excitatory synapses is thought to be important for …
Neuromodulation of spike-timing-dependent plasticity: past, present, and future
Spike-timing-dependent synaptic plasticity (STDP) is a leading cellular model for behavioral
learning and memory with rich computational properties. However, the relationship between …
learning and memory with rich computational properties. However, the relationship between …
Spike timing–dependent plasticity: a Hebbian learning rule
N Caporale, Y Dan - Annu. Rev. Neurosci., 2008 - annualreviews.org
Spike timing–dependent plasticity (STDP) as a Hebbian synaptic learning rule has been
demonstrated in various neural circuits over a wide spectrum of species, from insects to …
demonstrated in various neural circuits over a wide spectrum of species, from insects to …
Synaptic organization of visual space in primary visual cortex
MF Iacaruso, IT Gasler, SB Hofer - Nature, 2017 - nature.com
How a sensory stimulus is processed and perceived depends on the surrounding sensory
scene. In the visual cortex, contextual signals can be conveyed by an extensive network of …
scene. In the visual cortex, contextual signals can be conveyed by an extensive network of …
A history of spike-timing-dependent plasticity
How learning and memory is achieved in the brain is a central question in neuroscience.
Key to today's research into information storage in the brain is the concept of synaptic …
Key to today's research into information storage in the brain is the concept of synaptic …