RobertTLange / Reading_Notes_Neuro

Progress, Notes, Summaries and a lot of Questions on Neuroscience

Neuroscience Reading Notes

Author: Robert T. Lange

This repository contains simple reading notes, thoughts, questions and summaries of the papers/book chapters, which I (Robert T. Lange) during my Neuroscience time in Berlin.

The documents are grouped by overarching topic. First of all I hope that this way I am able to structure my knowledge gains and have a quick read to remind myself of keypoints. Second, I hope that you are able to follow my current interests and research progress.

Notes:

1. If there is a tick in the box, there exists a summary markdown file in the subdirectory. Otherwise, I have only read the document. Furthermore, I list below the chapters of books, while the markdown file contains the summary for the full (or the parts that I have worked in) book.
2. Most notes focus on the neuroscience. Notes on Machine Learning and method papers are kept in a separate repository.

• Oby et al. (2019) - New neural activity patterns emerge with long-term learning Paper Click

Representational Similarity Analysis

2019-06

• Bashivan et al (2019) - Neural population control via deep image synthesis
• Ponce et al (2019) - Evolving Images for Visual Neurons using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences

2019-03

• Cichy et al (2016) - Comparison of DNNs to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
• Cadieu et al (2014) - Deep NNs rival the representation of Primate IT Cortex for Core Visual Object Recognition

Credit Assignment in the Brain

2019-03

• Lillicrap & Santoro (2019) - Backpropagation through time and the brain

2019-02

• Richards & Lillicrap (2019) - Dendritic Solutions to the Credit Assignment Problem

Cognitive Neuroscience

2018-12

• Botvinick et al (2004) - Conflict monitoring and anterior cingulate cortex: an update
• Gallego et al (2018) - Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
• Georgopoulos et al (1986) - Neuronal Population Coding of Movement Direction
• Polyn et al (2005) - Category-Specific Cortical Activity Precedes Retrieval During Memory Search

2018-11

• Keller and Mrsic-Flogel (2018) - Predictive Processing: A canonical cortical computation
• Finn et al (2018) - Layer-dependent activity in human prefrontal cortex during working memory
• Kriegeskorte et al (2009) - Circular analysis in systems neuroscience: the dangers of double dipping
• Mathys et al (2014) - Uncertainty in perception and the Hierarchical Gaussian Filter
• Hubel and Wiesel (1969) - Visual perception in striate cortex
• Itti and Koch (2001) - Computational Modeling of Visual Attention
• Quiroga et al (2005) - Invariant Visual Representation by Single Neurons in the Human Brain

2018-10

• Yarkoni et al (2010) - Cognitive neuroscience 2.0: building a cumulative science of human brain function