Published 2020
| Version v1
Book
Spiking network model with STDP learning and inhibitory interneuronal connections for solving a classification task
- 1. Natsional'nyj Issledovatel'skij Yadernyj Univ. «MIFI», Moscow (Russian Federation)
- 2. Natsional'nyj Issledovatel'skij Tsentr «Kurchatovskij Inst.», Moscow (Russian Federation)
Description
For a neural network comprising one excitatory layer and one inhibitory layer, the biologically-inspired Spike-Timing-Dependent Plasticity is shown to be capable of learning not only the image recognition task of MNIST as known previously, but also a real-valued classification task of Fisher's Iris
Abstract (Russian)
Для сети из одного слоя возбуждающих и одного слоя тормозящих нейронов показано, что на основе биологически мотивированной модели долговременной синаптической пластичности Spike-Timing-Dependent Plasticity возможно обучение сети не только распознаванию изображений, что было ранее показано на примере рукописных цифр MNIST, но и классификации векторов рациональных чисел, на примере задачи ирисов ФишераAdditional details
Additional titles
- Original title (Russian)
- Модел' спайковой нейронной сети с STDP-обучением и тормозящими межнейронными связями для решения задачи классификации
Publishing Information
- Publisher
- NIYaU MIFI
- Imprint Place
- Moscow (Russian Federation)
- ISBN
- 978-5-7262-2655-2
- Imprint Title
- VI International conference #Left-Pointing Double Angle Quotation Mark#Laser, plasma research and technologies #En Dash# LaPlaz-2020#Right-Pointing Double Angle Quotation Mark#. Collection of scientific papers. Part 1
- Imprint Pagination
- 463 p.
- Journal Page Range
- p. 103-104
Conference
- Title
- International Conference on Laser, Plasma Research and Technologies
- Original Conference Title
- VI Mezhdunarodnaya konferentsiya «Lazernye, plazmennye issledovaniya i tekhnologii – LaPlaz-2020»
- Acronym
- LaPlas 2020
- Dates
- 11-14 Feb 2020
- Place
- Moscow (Russian Federation)
INIS
- Country of Publication
- Russian Federation
- Country of Input or Organization
- Russian Federation
- INIS RN
- 53056534
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ADAPTIVE SYSTEMS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; PATTERN RECOGNITION
- Descriptors DEC
- COMPUTERIZED CONTROL SYSTEMS; CONTROL SYSTEMS; MATHEMATICAL LOGIC; ON-LINE CONTROL SYSTEMS; ON-LINE SYSTEMS
Optional Information
- Notes
- 2 refs. Imprint:VI Mezhdunarodnaya konferentsiya #Left-Pointing Double Angle Quotation Mark#Lazernye, plazmennye issledovaniya i tekhnologii #En Dash# LaPlaz-2020#Right-Pointing Double Angle Quotation Mark#. Sbornik nauchnykh trudov. Chast' 1