Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware

Autor: Takuya Nanami, Takashi Kohno

Publikováno v: Frontiers in Neuroscience, Vol 16 (2023)

Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the information processing of the nervous system. However, ionic-conductance models, which can faithfully reproduce neuronal activities, require a huge computati

Externí odkaz: https://doaj.org/article/d153cfe4826340cab91faa508c036a34

A Metaheuristic Approach for Parameter Fitting in Digital Spiking Silicon Neuron Model

Autor: Takuya Nanami, Filippo Grassia, Takashi Kohno

Publikováno v: Journal of Robotics, Networking and Artificial Life (JRNAL), Vol 5, Iss 1 (2018)

DSSN model is a qualitative neuronal model designed for efficient implementation in digital arithmetic circuit. In our previous studies, we developed automatic parameter fitting method using the differential evolution algorithm for regular and fast s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17dc6e43967c1a38be5c2ff4e09f1c33
https://doi.org/10.5954/icarob.2018.os9-2

Development and Applications of Biomimetic Neuronal Networks Toward BrainMorphic Artificial Intelligence

Autor: Takashi Kohno, Atsuya Tange, Takuya Nanami, Kazuyuki Aihara, Timothée Levi

Publikováno v: IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Circuits and Systems II: Express Briefs, Institute of Electrical and Electronics Engineers, 2018, 65 (5), pp.577-581. ⟨10.1109/TCSII.2018.2824827⟩

This brief presents the brainmorphic artificial intelligence (BMAI) project. The main goal is to generate a novel type of neuromorphic computing systems including novel algorithms and devices, which can achieve very high performance of artificial int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0d4c2890fba291d43f042b7b55ce0d5
https://hal.archives-ouvertes.fr/hal-02482398

Simple Cortical and Thalamic Neuron Models for Digital Arithmetic Circuit Implementation

Autor: Takuya Nanami, Takashi Kohno

Publikováno v: Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 10 (2016)

Trade-off between reproducibility of neuronal activities and computational efficiency is one of crucial subjects in computational neuroscience and neuromorphic engineering. A wide variety of neuronal models have been studied from different viewpoints

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4350b18f99925a1446a905f7865d673b

Qualitative-Modeling-Based Silicon Neurons and Their Networks.

Autor: Takashi Kohno, Munehisa Sekikawa, Jing Li, Takuya Nanami, Kazuyuki Aihara, Alberto Mazzoni, Maurizio Mattia

Publikováno v: Frontiers in Neuroscience; 6/15/2016, p1-16, 16p