Modeling the cerebellar microcircuit: new strategies for a long-standing issue
The cerebellar microcircuit has been the work bench for theoretical and computational
modeling since the beginning of neuroscientific research. The regular neural architecture of …
modeling since the beginning of neuroscientific research. The regular neural architecture of …
A unified computational model for cortical post-synaptic plasticity
Signalling pathways leading to post-synaptic plasticity have been examined in many types
of experimental studies, but a unified picture on how multiple biochemical pathways …
of experimental studies, but a unified picture on how multiple biochemical pathways …
A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics
Discovering the rules of synaptic plasticity is an important step for understanding brain
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …
Enhancement of spike-timing-dependent plasticity in spiking neural systems with noise
S Nobukawa, H Nishimura - International journal of neural systems, 2016 - World Scientific
Synaptic plasticity is widely recognized to support adaptable information processing in the
brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous …
brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous …
Small-volume effect enables robust, sensitive, and efficient information transfer in the spine
Why is the spine of a neuron so small that it can contain only small numbers of molecules
and reactions inevitably become stochastic? We previously showed that, despite such noisy …
and reactions inevitably become stochastic? We previously showed that, despite such noisy …
Synchronization stability and firing transitions in two types of class I neuronal networks with short-term plasticity
This paper investigates synchronization stability and firing transition in two types of the
modified canonical class I neuronal networks, where the short-term plasticity of synapse is …
modified canonical class I neuronal networks, where the short-term plasticity of synapse is …
NMDAR-mediated Ca2+ increase shows robust information transfer in dendritic spines
A dendritic spine is a small structure on the dendrites of a neuron that processes input timing
information from other neurons. Tens of thousands of spines are present on a neuron. Why …
information from other neurons. Tens of thousands of spines are present on a neuron. Why …
[PDF][PDF] ORCA–Online Research@ Cardiff
Discovering the rules of synaptic plasticity is an important step for understanding brain
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …
Distributed representation of discrete sequential vocalization in the Bengalese finch (Lonchura striata var. domestica)
Bengalese finches learn and produce sequential vocalizations with a complex song syntax.
Various models for the song syntax have been proposed, each of which focuses on several …
Various models for the song syntax have been proposed, each of which focuses on several …
“Small and many” is the strategy for robust and efficient information transfer in dendritic spines
A dendritic spine is a small structure on the dendrites of a neuron that processes input timing
information from other neurons. Tens of thousands of spines are present on a neuron. Why …
information from other neurons. Tens of thousands of spines are present on a neuron. Why …