Mikhail V. Kiselev

25 papers B 7C 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A purely spiking approach to reinforcement learning.
Cogn. Syst. Res.
Mikhail V. Kiselev, Alexander Ivanitsky, Denis A. Larionov
2025 J jnl
Convolutional Spiking Neural Network for Image Classification.
CoRR
Mikhail V. Kiselev, Andrey Lavrentyev
2024 B conf
From "What" to "When" - a Spiking Neural Network Predicting Rare Events and Time to their Occurrence.
IJCNN
Mikhail V. Kiselev, Andrey Lavrentyev, Denis A. Larionov, Dmitry A. Ivanov
2023 J jnl
A Spiking Binary Neuron - Detector of Causal Links.
CoRR
Mikhail V. Kiselev, Denis A. Larionov, Andrey Urusov
2023 B conf
A Spiking Neural Network Learning Markov Chain.
IJCNN
Mikhail V. Kiselev, Alexander Ivanitsky, Andrey Lavrentyev
2023 J jnl
From "What" to "When" - a Spiking Neural Network Predicting Rare Events and Time to their Occurrence.
CoRR
Mikhail V. Kiselev
2022 J jnl
A Spiking Neural Network Learning Markov Chain.
CoRR
Mikhail V. Kiselev
2022 J jnl
A Spiking Neural Network Structure Implementing Reinforcement Learning.
CoRR
Mikhail V. Kiselev
2022 J jnl
Neuromorphic Artificial Intelligence Systems.
CoRR
Dmitry Ivanov, Aleksandr Chezhegov, Andrey Grunin, Mikhail V. Kiselev, Denis A. Larionov
2019 B conf
A Preprocessing Layer in Spiking Neural Networks - Structure, Parameters, Performance Criteria.
IJCNN
Mikhail V. Kiselev, Andrey Lavrentyev
2017 B conf
A synaptic plasticity rule providing a unified approach to supervised and unsupervised learning.
IJCNN
Mikhail V. Kiselev
2016 C conf
Conversion from Rate Code to Temporal Code - Crucial Role of Inhibition.
ISNN
Mikhail V. Kiselev
2016 B conf
Rate coding vs. temporal coding - is optimum between?
IJCNN
Mikhail V. Kiselev
2014 — conf
Empirical Models as a Basis for Synthesis of Large Spiking Neural Networks with Pre-Specified Properties.
IJCCI (NCTA)
Mikhail V. Kiselev
2014 J jnl
Homogenous Chaotic Network Serving as a Rate/Population Code to Temporal Code Converter.
Comput. Intell. Neurosci.
Mikhail V. Kiselev
2014 — conf
Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression.
ANNIIP
Mikhail V. Kiselev
2013 — conf
Self-Organization Process in Large Spiking Neural Networks Leading to Formation of Working Memory Mechanism.
IWANN (1)
Mikhail V. Kiselev
2011 — conf
Self-organized Short-Term Memory Mechanism in Spiking Neural Network.
ICANNGA (1)
Mikhail V. Kiselev
2009 B conf
Self-organized spiking neural network recognizing phase/frequency correlations.
IJCNN
Mikhail V. Kiselev
2003 B conf
Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons.
IJCNN
Mikhail V. Kiselev
1999 — conf
LA - A Clustering Algorithm with an Automated Selection of Attributes, wich is Invariant to Functional Transformations of Coordinates.
PKDD
Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev
1998 — conf
PolyAnalyst Data Analysis Technique and Its Specialization for Processing Data Organized as a Set of Attribute Values.
PKDD
Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev
1997 — conf
Regression-Based Classification Methods and Their Comparisons with Desision Tree Algorithms.
PKDD
Mikhail V. Kiselev, Sergei M. Ananyan, Sergei B. Arseniev
1994 — conf
PolyAnalyst - A Machine Discovery System Inferring Functional Programs.
KDD Workshop
Mikhail V. Kiselev
1991 — conf
The Object-Oriented Approach to the Medical Real Time System Design.
MIE
Sergei B. Arseniev, Mikhail V. Kiselev