“Neurocomputation and Cognition”
- Prof. Larry M. Manevitz – Director Neuro-computation Laboratory, Caesarea Rothschild Institute and Department of Computer Science, U. Haifa, Haifa, Israel and Department of Computer Science, Ariel University, Israel (corresponding organizer) email@example.com
- Dr. Alex Frid – Laboratory of Clinical Neurophysiology, Rappaport Faculty of Medicine, The Technion (Israel Institute of Technology), Haifa, Israel, firstname.lastname@example.org
- Dr. Hananel Hazan – Levin Lab, Department of Biology, Tufts University, Boston, USA, email@example.com, personal site
- Prof. Bernardete Ribeiro – Department of Computer Science, Coimbra University, Coimbra, Portugal, firstname.lastname@example.org, personal site
Aims and Scope
The field of neurocomputation is concerned with the possibility of computation in computers by following the paradigm and analysis of computation that occurs in neurons and the brain. In recent years this has resulted in breakthroughs in pattern recognition, machine learning theory, clustering, associative memory and fault tolerant computation.
Consequently, the precision resulting from the computational and mathematical viewpoint has led to insights helping to clarify aspects of one of the ultimate human research endeavors: understanding the manner in which human thought emerges from the organization of the human brain.
A session on this topic was presented in Rio de Janeiro IJCNN 2018 and was very successful. Extended papers developed from this session have been submitted to a special issue of the veteran journal Annals of Mathematics and Artificial Intelligence and this issue is scheduled to appear early in 2020.
We will again look into the possibility of another special issue with an established veteran journal.
The special session invites submissions in any of the following (and related) areas:
- Neurocomputation techniques as related to human cognitive issues
- Neurocomputational Models of Embodied Natural Language Processing
- Understanding brain information processing underlying real-world tasks.
- Validation of cognitive models using machine learning methods
- Computational Biomarkers for Diseases
- Computational Biomarkers for Cognitive Activity
- Neurocomputational and Architectural Models of Creativity
- Use of Neurocomputation and Machine Learning Tools to identify Physiological Features
- Biologically Inspired Neural Computing
- Analysis of Time Dependent Information in cognition
Submission Link: https://ieee-cis.org/conferences/ijcnn2020/upload.php
Under “Main research topic*” select “S51. Neurocomputation and Cognition”
In this special session we will probably focus on three main directions depending on submissions.. Many researchers have interest in at least two of them. Our organizers know each other well, and are related to various laboratories interested in these issues in Israel, USA, Portugal,and New Zealand . However, general submissions in these areas are very welcome. .
1. Recognizing and Classifying Cognitive and Brain activities using Neurocomputation and related technologies
This is a very complex area wherein the neurocomputation serves as a tool; to help uncover subtle relationships.
In this area, there is much “old fashioned” work on feature selection and choice of learning method. Yet systematic methodology is still in modus ascendii and one aim of the meeting is to help clarify this. Some of this work does not fit easily into, e.g. deep learning techniques because of the relative paucity of data points. Thus, also experimental theoretical work relating to how to manage with “small data” would be appropriate as long as it has links to the cognitive aspect.
- Example: Work by Nawa, Ando et al (CiNet, Osaka, Japan) on the ability to judge valence of free recall human biographical memories.
- Example: Work to do diagnosis and early prognosis of Neuro-degenerative diseases (such as Parkinson’s Disease) from various sorts of features and data (See e.g. Frid, Kantor et al.)
- Example: Epileptic Seizure Predictions (See e.g. B. Ribeiro et. al.)
- Temporal data still remains a difficulty, both in collection and analysis. One such method, recently presented involves “deconvolution of training data” followed by artificial production of all possible artificially convolved data. (See e.g. Bitan, Shalelshivili et al , 2017.) Further work in this direction will be welcomed on different data sets as well as other methodologies.
2. Developing Neuro-computation Models as a means to develop or test cognitive theories via simulation, especially cognitive modeling and computational models of creativity
- Example: Computational Models for reading; computational models for autism and corresponding results. Included in this would be such ideas related to neural architectural ideas for such modeling. Example: Work by Peleg et al on reading
- Example: Computational models of cognitive phenomena (e.g. emotion, creativity, etc.)
- Example: Temporal Storage, Reservoir Computing and so on. Example: Work by Hazan et al on how requirements of robustness gives topological constraints on brain models.
- Example: Temporal Sparse Distributed Memory (Manevitz)
- Example: “Embodied” models of natural language
3. Discovery of Objective “Computational” Biomarkers
- Example: Using neurocomputation and machine learning tools for neurodegenerative diseases See, e.g. work by Frid et al
- Example: Discovery of Secondary Declarative Memory using modeling and feature selection. See e.g. work by Gilboa, Koilis et al.
- Example: Investigations of “prospective memory” experiments
- Deadline of Full Paper Submission: January 30, 2020 – Extended
- Notification of Paper Acceptance: March 15, 2020
- Camera Ready Submission of Accepted Papers: April 15, 2020
- Registration Details.
- IEEE IJCNN/WCCI 2020, Glasgow, Scotland, UK : July 19-24, 2020
This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/), a part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org/) (Glasgow, Scotland, United Kingdom, July 19-24, 2020). All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/ ).
To submit your paper to this special session, you will choose our special session on the submission page “S51. Neurocomputation and Cognition“. All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore.