Time & Location

2020. 9. 28. MON 7 PM

@KAIST, N1, Room #102

(& Live streaming on YouTube: link above)

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Moderator

: Jungjoon Park (biasdrive@gmail.com)

Presenter

: Jineun Kim, Yangseon Hwang, Ryungwoo Jang, Jungjoon Park

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Agenda

Why 'Theoretical Framework' matters?

: Systematic thinking to understand 'How the mind works' and to implement 'intelligence'

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 I. Theoretical Framework

: Toward the unified Theoretical Framework in understanding the brain & building the AI

(Jineun Kim, BS)

 

II. Computational Neuroscience perspective

: Marr’s 3-level approach

(Ryoungwoo Jang, MD)

 

III. Hierarchical Temporal Memory

: The Unified theory based on Memory prediction framework

(Yang-sun Hwang, BS) 

 

Summary & Overview

(Jungjoon Park, BBE)

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Key Materials

1. Theoretical Framework

- Jeff Hawkins: How Brain Science Will Change Computing (video)

- On the role of theory and modeling in neuroscience 

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2. Hierarchical Temporal Memory (HTM) 

- The HTM Spatial Pooler—A Neocortical Algorithm for Online Sparse Distributed Coding

- Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex

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Supplementary Materials

1. Theoretical Framework

- A Framework for Consciousness

- Distinguishing between Theory, Theoretical Framework, and Conceptual Framework: A Systematic Review of Lessons from the Field

- Neuroscience Needs Behavior: Correcting a Reductionist Bias

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2. Hierarchical Temporal Memory (HTM) 

- HTM Whitepaper

- HTM School

- Numenta GitHub (HTM implementation)​

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