Cognitive Computation

Brain Simulation and Spiking Neural Networks

Zhe Sun, Vassilis Cutsuridis, Cesar F. Caiafa, Jordi Solé-Casals

Detection of Autism Spectrum Disorder using fMRI Functional Connectivity with Feature Selection and Deep Learning

Jin Zhang, Fan Feng, Tianyi Han, Xiaoli Gong, Feng Duan

• Open Access

Testing an Explicit Method for Multi-compartment Neuron Model Simulation on a GPU

Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki

• Open Access

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling

Caglar Cakan, Nikola Jajcay, Klaus Obermayer

Spiking Memory Policy with Population-encoding for Partially Observable Markov Decision Process Problems

Hao Cheng, Feng Duan, Maochang He

Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation

Xiaohe Xue, Ralf D. Wimmer, Michael M. Halassa, Zhe Sage Chen

Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus

Jeffrey D. Kopsick, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli

• Open Access

Organization and Priming of Long-term Memory Representations with Two-phase Plasticity

Jannik Luboeinski, Christian Tetzlaff

Heterogeneous Axonal Delay Improves the Spiking Activity Propagation on a Toroidal Network

Marcello Salustri, Ruggero Micheletto

1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy

Rabi Shaw, Chinmay Mohanty, Bidyut Kr. Patra, Animesh Pradhan

The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition

Yikang Yang, Jia Ren, Feng Duan

• Open Access

Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment

Mark Crook-Rumsey, Christina J. Howard, Zohreh Doborjeh, Maryam Doborjeh, Josafath Israel Espinosa Ramos, Nikola Kasabov, Alexander Sumich

Multi-branch Bounding Box Regression for Object Detection

Hui-Shen Yuan, Si-Bao Chen, Bin Luo, Hao Huang, Qiang Li

An Attention-Driven Multi-label Image Classification with Semantic Embedding and Graph Convolutional Networks

Dengdi Sun, Leilei Ma, Zhuanlian Ding, Bin Luo

CCBLA: a Lightweight Phishing Detection Model Based on CNN, BiLSTM, and Attention Mechanism

Erzhou Zhu, Qixiang Yuan, Zhile Chen, Xuejian Li, Xianyong Fang

OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction

Haifeng Zhao, Haiting Wu, Xin Wang

• Open Access

Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders

Wenjun Bai, Changqin Quan, Zhi-Wei Luo

• Open Access

Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets

Himmet Kaplan, Albert Weichselbraun, Adrian M. P. Braşoveanu

A Self-Attention-Based Multi-Level Fusion Network for Aspect Category Sentiment Analysis

Dong Tian, Jia Shi, Jianying Feng

Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language

Marvin M. Agüero-Torales, Antonio G. López-Herrera, David Vilares