Toshio Aoyagi

发表

Use of recurrent infomax to improve the memory capability of input-driven recurrent neural networks pdf

Hisashi Iwade, Kohei Nakajima, Takuma Tanaka, 2018, ArXiv.

Analysis of Multineuron Activity Using the Kernel Method

Yoshio Sakurai, Toshio Aoyagi, Masaki Nomura, 2007, J. Robotics Mechatronics.

Replicating Receptive Fields of Simple and Complex Cells in Primary Visual Cortex in a Neuronal Network Model with Temporal and Population Sparseness and Reliability

Takeshi Kaneko, Takuma Tanaka, Toshio Aoyagi, 2012, Neural Computation.

Synchronization in Excitatory and Inhibitory Neural Circuits.

Toshio Aoyagi, T. Aoyagi, 2003 .

Estimation of Functional Connectivity that Causes Burst-like Population Activities

Toshio Aoyagi, Kazutoshi Gohara, Masaki Nomura, 2009 .

Temporal association realized by a network of bursting neurons

Toshio Aoyagi, T. Aoyagi, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

A dynamical systems approach for estimating phase interactions between rhythms of different frequencies from experimental data

Toshio Aoyagi, Hiroaki Mizuhara, Takayuki Onojima, 2018, PLoS Comput. Biol..

Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2007, Neural Computation.

Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity

Takeshi Kaneko, Takuma Tanaka, Toshio Aoyagi, 2009, Neural Computation.

Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons

Katsunori Kitano, Toshio Aoyagi, Kento Suzuki, 2018, Front. Comput. Neurosci..

Sequential timing control of mice performing complex stepping in a running wheel

Toshio Aoyagi, Masaki Nomura, Takashi Kitsukawa, 2009, Neuroscience Research.

27aXM-6 Scale-Free Properties and Microdynamics generated from Co-Evolving Dynamics between Reaction-Diffusive Resources on Nodes and Weighted Connections

Toshio Aoyagi, Takaaki Aoki, Koichiro Yawata, 2013 .

Simple and complex cell-like selectivity is reproduced by sparse coding model

Takuma Tanaka, Toshio Aoyagi, Takeshi Kaneko, 2010, Neuroscience Research.

Self-Organizing Maps with Asymmetric Neighborhood Function

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2007, Neural Computation.

Higher-order structures in natural scenes

Takuma Tanaka, Toshio Aoyagi, Takeshi Kaneko, 2009, Neuroscience Research.

Synchrony-Induced Attractor Transition in Cortical Neural Networks Organized by Spike-Timing Dependent Plasticity

Toshio Aoyagi, Takaaki Aoki, 2007, J. Robotics Mechatronics.

A cooperative dynamics of network of neural oscillators between the neuronal activity and the synatptic weight

Toshio Aoyagi, Takaaki Aoki, 2007, Neuroscience Research.

Co-evolving Network Dynamics between Reaction-Diffusive Resources on Nodes and Weighted Connections

Toshio Aoyagi, Takaaki Aoki, 2014 .

Evaluation of the Phase-Dependent Rhythm Control of Human Walking Using Phase Response Curves

Shinya Aoi, Kazuo Tsuchiya, Toshio Aoyagi, 2016, PLoS Comput. Biol..

Gamma frequency synchronization in a local cortical network model

Tomoki Fukai, Toshio Aoyagi, Masaki Nomura, 2004, Neurocomputing.

Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2002, Neurocomputing.

Ordering Process of Self-Organizing Maps Improved by Asymmetric Neighborhood Function

Koji Kurata, Toshio Aoyagi, Takaaki Aoki, 2007, ICONIP.

OSCILLATOR NEURAL NETWORK RETRIEVING SPARSELY CODED PHASE PATTERNS

Toshio Aoyagi, Masaki Nomura, 1999 .

Scale-free structures emerging from co-evolution of a network and the distribution of a diffusive resource on it.

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2011, Physical review letters.

A biologically plausible learning rule for the Infomax on recurrent neural networks

Takeshi Kaneko, Toshio Aoyagi, Takashi Hayakawa, 2014, Front. Comput. Neurosci..

Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons

Tomoki Fukai, Toshio Aoyagi, Takashi Takekawa, 2003, Neural Computation.

Winner-Take-All competition controled by spike coherence

Toshio Aoyagi, Takaaki Aoki, 2002 .

Possible role of synchronous input spike trains in controlling the function of neural networks

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2004, Neurocomputing.

A novel model of a scale-free network with self-growing weight

Takuma Tanaka, Toshio Aoyagi, 2007 .

Ordering process of self-organizing maps improved by asymmetric neighborhood function

Koji Kurata, Toshio Aoyagi, Takaaki Aoki, 2007, Cognitive Neurodynamics.

A bursting mechanism of chattering neurons based on Ca2+-dependent cationic currents

Tomoki Fukai, Takeshi Kaneko, Toshio Aoyagi, 2001, Neurocomputing.

Retrieval Dynamics in Oscillator Neural Networks

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1998, Neural Computation.

LETTER TO THE EDITOR: Retrieval dynamics of neural networks for sparsely coded sequential patterns

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1998, cond-mat/9805135.

Effect of Synchronous Incoming Spikes on Activity Pattern in A Network of Spiking Neurons

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2004, q-bio/0410029.

Direct extraction of phase dynamics from fluctuating rhythmic data based on a Bayesian approach

Toshio Aoyagi, Kaiichiro Ota, T. Aoyagi, 2014, 1405.4126.

Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses

Tomoki Fukai, Toshio Aoyagi, Masaki Nomura, 2003, Neural Computation.

Effect of recurrent infomax on the information processing capability of input-driven recurrent neural networks

Kohei Nakajima, Takuma Tanaka, Toshio Aoyagi, 2020, Neuroscience Research.

A model for feature linking via collective oscillations in the primary visual cortex

Toshio Aoyagi, Yoshiki Kuramoto, Ikuko Nishikawa, 2004, Biological Cybernetics.

Synchronous and asynchronous bursting states: role of intrinsic neural dynamics

Tomoki Fukai, Toshio Aoyagi, Takashi Takekawa, 2007, Journal of Computational Neuroscience.

Bayesian estimation of phase response curves

Tomoki Fukai, Ken Nakae, Toshio Aoyagi, 2010, Neural Networks.

Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing

Masato Okada, Toshio Aoyagi, Masaki Nomura, 2003, Neural Networks.

Interaction mechanisms quantified from dynamical features of frog choruses

Toshio Aoyagi, Ikkyu Aihara, Kaiichiro Ota, 2019, Royal Society Open Science.

23pTL-1 Statistical estimation for phase response curves under the various types of noisy environments

Ken Nakae, Toshio Aoyagi, Yukito Iba, 2007 .

Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2001, Neurocomputing.

On the Phase Description of Chaotic Oscillators

Toshio Aoyagi, Hiromichi Suetani, Takashi Imai, 2019, Journal of the Physical Society of Japan.

Optimal weighted networks of phase oscillators for synchronization.

Takuma Tanaka, Toshio Aoyagi, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Network of Bursting Neurons for Temporal Association

Toshio Aoyagi, 1992 .

Neural network model carrying phase information with application to collective dynamics

Toshio Aoyagi, Yoshiki Kuramoto, Ikuko Nishikawa, 1992 .

Effect of random synaptic dilution on recalling dynamics in an oscillator neural network

Katsunori Kitano, Toshio Aoyagi, 1998 .

Dynamics of two populations of phase oscillators with different frequency distributions.

Toshio Aoyagi, Yu Terada, 2016, Physical review. E.

A mathematical model of negative covariability of inter‐columnar excitatory synaptic actions caused by presynaptic inhibition

Takuma Tanaka, Toshio Aoyagi, Hiroki Toyoda, 2013, The European journal of neuroscience.

Co-evolution of phases and connection strengths in a network of phase oscillators.

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2009, Physical review letters.

Self-organized network of phase oscillators coupled by activity-dependent interactions.

Toshio Aoyagi, Takaaki Aoki, T. Aoyagi, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Asymmetric neighborhood functions accelerate ordering process of self-organizing maps.

Koji Kurata, Toshio Aoyagi, Takaaki Aoki, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Multistable attractors in a network of phase oscillators with three-body interactions.

Takuma Tanaka, Toshio Aoyagi, T. Aoyagi, 2011, Physical review letters.

A Possible Role of Incoming Spike Synchrony in Associative Memory Model with STDP Learning Rule(Oscillation, Chaos and Network Dynamics in Nonlinear Science)

Toshio Aoyagi, Takaaki Aoki, 2006 .

Robust Measurements of Phase Response Curves Realized via Multicycle Weighted Spike-Triggered Averages

Toshio Aoyagi, Kaiichiro Ota, Takashi Imai, 2017 .

Weighted spike-triggered average of a fluctuating stimulus yielding the phase response curve.

Toshio Aoyagi, Masaki Nomura, Kaiichiro Ota, 2008, Physical review letters.

EFFECT OF RANDOM SYNAPTIC DILUTION IN OSCILLATOR NEURAL NETWORKS

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1997 .

Influences of synaptic location on the synchronization of rhythmic bursting neurons.

Tomoki Fukai, Toshio Aoyagi, Takashi Takekawa, 2004 .

A possible functional organization of the corticostriatal input within the weakly-correlated striatal activity: a modeling study

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2001, Neuroscience Research.

Weighted scale-free networks with variable power-law exponents

Takuma Tanaka, Toshio Aoyagi, T. Aoyagi, 2008 .

Improvement effect of measuring phase response curves by using multicycle data

Toshio Aoyagi, Takashi Imai, 2016 .

Estimation of functional connectivity between bursting electrodes

Toshio Aoyagi, Kazutoshi Gohara, Masaki Nomura, 2008 .

Phase Locking States in Network of Inhibitory Neurons: A Putative Role of Gap Junction

Toshio Aoyagi, Daisuke Suzuki, 2002 .