Synaptic rewiring in neuromorphic VLSI for topographic map formation
SA Bamford - 2009 - era.ed.ac.uk
A generalised model of biological topographic map development is presented which
combines both weight plasticity and the formation and elimination of synapses (synaptic …
combines both weight plasticity and the formation and elimination of synapses (synaptic …
[HTML][HTML] Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity
J Bill, K Schuch, D Brüderle, J Schemmel… - Frontiers in …, 2010 - frontiersin.org
Recent developments in neuromorphic hardware engineering make mixed-signal VLSI
neural network models promising candidates for neuroscientific research tools and …
neural network models promising candidates for neuroscientific research tools and …
Topographic map formation by silicon growth cones
We describe a self-configuring neuromorphic chip that uses a model of activity-dependent
axon remodeling to automatically wire topographic maps based solely on input correlations …
axon remodeling to automatically wire topographic maps based solely on input correlations …
Synaptic rewiring for topographic map formation
SA Bamford, AF Murray, DJ Willshaw - International Conference on …, 2008 - Springer
A model of topographic map development is presented which combines both weight
plasticity and the formation and elimination of synapses as well as both activity-dependent …
plasticity and the formation and elimination of synapses as well as both activity-dependent …
Synaptic rewiring for topographic mapping and receptive field development
SA Bamford, AF Murray, DJ Willshaw - Neural Networks, 2010 - Elsevier
A model of topographic map refinement is presented which combines both weight plasticity
and the formation and elimination of synapses, as well as both activity-dependent and …
and the formation and elimination of synapses, as well as both activity-dependent and …
[图书][B] Learning in Silicon: A Neuromorphic Model of the Hippocampus
JV Arthur - 2006 - Citeseer
Neuromorphic engineers aim to reproduce the spike-based computation of the brain by
morphing its neuroanatomy and neurophysiology into custom silicon VLSI (very largescale …
morphing its neuroanatomy and neurophysiology into custom silicon VLSI (very largescale …
[PDF][PDF] Networks of spiking neurons and plastic synapses: implementation and control
M Giulioni - 2008 - zora.uzh.ch
The brain is an incredible system with a computational power that goes further beyond those
of our standard computer. It consists of a network of 1011 neurons connected by about 1014 …
of our standard computer. It consists of a network of 1011 neurons connected by about 1014 …
An adaptive neuromorphic model of ocular dominance map using floating gate 'synapse'
A novel analogue CMOS design of a cortical cell, that computes weighted sum of inputs, is
presented. The cell's feedback regime exploits the adaptation dynamics of floating gate p …
presented. The cell's feedback regime exploits the adaptation dynamics of floating gate p …
[PDF][PDF] A neuromorphic VLSI system for modeling spike-based cooperative competitive neural networks
E Chicca - 2006 - research-collection.ethz.ch
Neuromorphic engineering is an emerging research field which explores methodologies for
implementing biologically inspired systems in hardware. It has a key role in neuroscience as …
implementing biologically inspired systems in hardware. It has a key role in neuroscience as …
[HTML][HTML] Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Understanding how biological neural networks carry out learning using spike-based local
plasticity mechanisms can lead to the development of real-time, energy-efficient, and …
plasticity mechanisms can lead to the development of real-time, energy-efficient, and …