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- The University of TokyoJP10 papers
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- Kobe City College of TechnologyJP5 papers
- Yamaguchi UniversityJP4 papers
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- Japan Science and Technology AgencyJP3 papers
- Bernstein Center for Computational Neuroscience FreiburgDE2 papers
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4 papers · 1 filter
A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger +31
In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems.…
Modeling Basal Ganglia for understanding Parkinsonian Reaching Movements
K. N. Magdoom, D. Subramanian, V. S. Chakravarthy +3
We present a computational model that highlights the role of basal ganglia (BG) in generating simple reaching movements. The model is cast within the reinforcement learning (RL) fr…
Sparse and Dense Encoding in Layered Associative Network of Spiking Neurons
Kazuya Ishibashi, Kosuke Hamaguchi, Masato Okada
A synfire chain is a simple neural network model which can propagate stable synchronous spikes called a pulse packet and widely researched. However how synfire chains coexist in on…
Theory of Interaction of Memory Patterns in Layered Associative Networks
Kazuya Ishibashi, Kosuke Hamaguchi, Masato Okada
A synfire chain is a network that can generate repeated spike patterns with millisecond precision. Although synfire chains with only one activity propagation mode have been intensi…