The dynamic brain: from spiking neurons to neural masses and cortical fields
The cortex is a complex system, characterized by its dynamics and architecture, which
underlie many functions such as action, perception, learning, language, and cognition. Its …
underlie many functions such as action, perception, learning, language, and cognition. Its …
[HTML][HTML] Fast Hebbian plasticity and working memory
Theories and models of working memory (WM) were at least since the mid-1990s dominated
by the persistent activity hypothesis. The past decade has seen rising concerns about the …
by the persistent activity hypothesis. The past decade has seen rising concerns about the …
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
Implementing compact, low-power artificial neural processing systems with real-time on-line
learning abilities is still an open challenge. In this paper we present a full-custom mixed …
learning abilities is still an open challenge. In this paper we present a full-custom mixed …
Learning real-world stimuli in a neural network with spike-driven synaptic dynamics
We present a model of spike-driven synaptic plasticity inspired by experimental observations
and motivated by the desire to build an electronic hardware device that can learn to classify …
and motivated by the desire to build an electronic hardware device that can learn to classify …
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
AN Burkitt - Biological cybernetics, 2006 - Springer
The integrate-and-fire neuron model describes the state of a neuron in terms of its
membrane potential, which is determined by the synaptic inputs and the injected current that …
membrane potential, which is determined by the synaptic inputs and the injected current that …
A recipe for creating ideal hybrid memristive-CMOS neuromorphic processing systems
E Chicca, G Indiveri - Applied Physics Letters, 2020 - pubs.aip.org
The development of memristive device technologies has reached a level of maturity to
enable the design and fabrication of complex and large-scale hybrid memristive …
enable the design and fabrication of complex and large-scale hybrid memristive …
Attention, short-term memory, and action selection: a unifying theory
Cognitive behaviour requires complex context-dependent processing of information that
emerges from the links between attentional perceptual processes, working memory and …
emerges from the links between attentional perceptual processes, working memory and …
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 …
Synaptic plasticity in neural networks needs homeostasis with a fast rate detector
Hebbian changes of excitatory synapses are driven by and further enhance correlations
between pre-and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback …
between pre-and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback …
Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity
Abnormally strong neural synchronization may impair brain function, as observed in several
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …