Notes for the Neuroscience & AI Reading Course (SEM-I 2020-21) at BITS Pilani Goa Campus

1. [LSTMs & BERT](./Manav_2017B4AA1016G/NLP - LSTMs and BERT.md)

1. [Lexical Semantic Change](./Arijit_2018A8PS0856G/Lexicon Development in Children.md)

1. NCC-MARL

1. Brain Data Embeddings
2. Comparing Word Embeddings

1. Envisioned speech recognition using EEG sensors
2. Toward EEG Sensing of Imagined Speech
3. [EEG Sensing of Imagined Speech](./Mahak_2018A7PS0232G/EEG Sensing Of Imagined Speech.md)

1. On inductive biases in Deep Reinforcement Learning
2. Deep Reinforcement Learning with Relational Inductive biases
3. Relational Inductive biases for physical construction in humans and machines
4. Putting bandits into context - How functional learning supports decision making

1. AlphaStar II multi agent Reinforcement Learning
2. Hide and Seek
3. Intrinsic Social Motivation

1. Visually Grounded Neural Syntax Acquisition

1. Multi SimLex: A large scale evaluation of multilingual and cross lingual lexical semantic similarity
2. Neural Language Models for the Multilingual, Transcultural, and Multimodal Semantic Web

1. MAML
2. MAML as Hierarchical Bayes
3. On inductive biases in DRL

1. Introduction to Selective Attention and Cognitive Neuroscience