Multichannel Convolutional Neural Network for Biological Relation Extraction
BioMed Research International, 2016 The plethora of biomedical relations which are embedded in medical logs (records) demands researchers' attention. Previous theoretical and practical focuses were restricted on traditional machine learning techniques.
Chanqin Quan +3 more
semanticscholar +1 more source
A Novel Evaluation Strategy to Artificial Neural Network Model Based on Bionics
Journal of Bionic Engineering, 2021 With the continuous deepening of Artificial Neural Network (ANN) research, ANN model structure and function are improving towards diversification and intelligence. However, the model is more evaluated from the pros and cons of the problem-solving results
Sen Tian +5 more
semanticscholar +1 more source
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis [PDF]
Neural Computation, 2020 Cortical pyramidal neurons receive inputs from multiple distinct neural populations and integrate these inputs in separate dendritic compartments. We explore the possibility that cortical microcircuits implement canonical correlation analysis (CCA), an ...
David Lipshutz +4 more
semanticscholar +1 more source
Neural Sampling by Irregular Gating Inhibition of Spiking Neurons and Attractor Networks [PDF]
, 2016 A long tradition in theoretical neuroscience casts sensory processing in the brain as the process of inferring the maximally consistent interpretations of imperfect sensory input.
Indiveri, Giacomo, Muller, Lorenz K.
core +1 more source
Stability of a neural network model with small-world connections
, 2004 Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections.
C. Aguirre +15 more
core +1 more source
Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans
BiomimeticsThe objective of this research is to achieve biologically autonomous control by utilizing a whole-brain network model, drawing inspiration from biological neural networks to enhance the development of bionic intelligence.
Kangxin Hu +7 more
doaj +1 more source
Scientific Reports, 2022 Klinotaxis is a strategy of chemotaxis behavior in Caenorhabditis elegans (C. elegans), and random walking is evident during its locomotion. As yet, the understanding of the neural mechanisms underlying these behaviors has remained limited. In this study,
Mohan Chen +4 more
doaj +1 more source
A scalable neural network emulator with MRAM-based mixed-signal circuits
Frontiers in NeuroscienceIn this study, we present a mixed-signal framework that utilizes MRAM (Magneto-resistive Random Access Memory) technology to emulate behaviors observed in biological neural networks on silicon substrates.
Jua Lee +11 more
doaj +1 more source
CHOOSING THE MODEL OF BIOLOGICAL NEURAL NETWORK FOR IMAGE SEGMENTATION OF A BIO-LIQUID FACIE
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2019 In the paper, the biological neural network models are analyzed with a purpose to solve the problems of segmentation and pattern recognition when applied to the bio-liquid facies obtained by the cuneiform dehydration method.
M. E. Semenov, T.Yu. Zablotskaya
doaj +1 more source
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products
Journal of Natural Products, 2020 Computational approaches such as genome and metabolome mining are becoming essential to natural products (NPs) research. Consequently, a need exists for an automated structure-type classification system to handle the massive amounts of data appearing for
Hyun Woo Kim +11 more
semanticscholar +1 more source