Library

Overview of books for our library

Neuroscience

Principles of Neural Science, by Eric R. Kandel (Editor), James H. Schwartz (Editor), Thomas M. Jessell (Editor), Steven A. Siegelbaum (Editor), A. J. Hudspeth (Editor)
Neuroscience by Dale Purves and George J. Augustine
Neuroscience: Exploring the Brain by Mark F. Bear and Barry W. Connors

Handbook of Brain Connectivity (Understanding Complex Systems) by Viktor K. Jirsa (Editor), A.R. McIntosh (Editor)
Coordinated Activity in the Brain: Measurements and Relevance to Brain Function and Behavior (Springer Series in Computational Neuroscience) by Jose Luis Perez Velazquez (Editor), Richard Wennberg (Editor)

Principles of Computational Modelling in Neuroscience, by David Sterratt (Author), Bruce Graham (Author), Andrew Gillies (Author)
Biophysics of Computation: Information Processing in Single Neurons by Christof Koch (Author)
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Laurence F. Abbott (Author), Peter Dayan (Author)
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition by Wulfram Gerstner (Author), Werner M. Kistler (Author), Richard Naud (Author), Liam Paninski (Author)
Spikes: Exploring the Neural Code (Computational Neuroscience) by Fred Rieke and David Warland
The Handbook of Brain Theory and Neural Networks (A Bradford Book) by Michael A. Arbib
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series) by Eugene M. Izhikevich (Author), Terrence J. Sejnowski
Handbook of Neural Activity Measurement by Romain Brette, Alain Destexhe
Introduction to Theoretical Neurobiology Vol 1: Linear Cable Theory and Dendritic Structure
Introduction to Theoretical Neurobiology Vol 2: Nonlinear and Stochastic Theories
Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics
Computational Neuroscience: A Comprehensive Approach
Mathematics for Neuroscientist
Mathematical Foundations of Neuroscience
Waves in Neural Media: From single Neurons to Fields
Neural Fields: Theory and Applications

Random Walks in Biology by Howard C. Berg
Biophysics: Searching for Principles by William Bialek
Bridging Time Scales: Molecular Simulations for the Next Decade
Stochastic Processes in Cell Biology
Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) by J.D. Murray
Mathematical Biology II: Spatial Models and Biomedical Applications (Interdisciplinary Applied Mathematics) (v. 2) by J.D. Murray

Fourier Analysis: An Introduction (Princeton Lectures in Analysis, Volume 1) by Elias M. Stein and Rami Shakarchi
Complex Analysis (Princeton Lectures in Analysis, No. 2) by Elias M. Stein and Rami Shakarchi
Real Analysis: Measure Theory, Integration, and Hilbert Spaces (Princeton Lectures in Analysis) (Bk. 3) by Elias M. Stein and Rami Shakarchi
Functional Analysis: Introduction to Further Topics in Analysis (Princeton Lectures in Analysis) (Bk. 4) by Elias M. Stein and Rami Shakarchi
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition (Studies in Nonlinearity) (Volume 1) by Steven H. Strogatz
Linear Algebra and Its Applications by Gilbert Strang
Introduction to Applied Mathematics, by Gilbert Strang
Differential Equations and Linear Algebra, by Gilbert Strang

Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences by R. J. Barlow
All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) by Larry Wasserman
All of Nonparametric Statistics (Springer Texts in Statistics) by Larry Wasserman

Bayesian

Bayesian Data Analysis by Andrew Gelman (Author), John B. Carlin (Author), Hal S. Stern (Author), David B. Dunson (Author), Aki Vehtari (Author), Donald B. Rubin (Author)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath

Causal inference

Causality: Models, Reasoning and Inference by Judea Pearl
Causal Inference in Statistics: A Primer by Judea Pearl and Madelyn Glymour
Mostly Harmless Econometrics: An Empiricist's Companion by Joshua D. Angrist and Jörn-Steffen Pischke

Analysis

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators (Wiley Series in Probability and Statistics) by Tailen Hsing and Randall Eubank
Analysis of Neural Data by Kass, Robert E., Eden, Uri, Brown, Emery

Deep Learning with Python by Francois Chollet
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent by Aurélien Géron
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, (Springer Series in Statistics) by Trevor Hastie (Author), Robert Tibshirani (Author), Jerome Friedman (Author)
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig

Information Theory: A Tutorial Introduction Paperback by James V Stone (Author)
Information Theory, Inference and Learning Algorithms by David J.C. MacKay
Information, Physics, and Computation (Oxford Graduate Texts) by Marc Mézard and Andrea Montanari
The Nonlinear World: Conceptual Analysis and Phenomenology (Springer Series in Synergetics) by Yoshitsugu Oono
Six Degrees: The Science of a Connected Age Reprint Edition by Duncan J. Watts (Author)
Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life by Albert-Laszlo Barabasi (Author)
Complexity: A Guided Tour by Melanie Mitchell (Author)
Supercooperators: The Mathematics of Evolution, Altruism and Human Behaviour, (Or, Why We Need Each Other to Succeed) by M A Nowak (Author)
Graph Theory and Complex Networks: An Introduction by Maarten van Steen (Author)
Networks: An Introduction by Mark Newman (Author)
Dynamical Processes on Complex Networks by Alain Barrat (Author), Marc Barthélemy (Author), Alessandro Vespignani (Author)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics) by S. N. Dorogovtsev (Author), J.F.F. Mendes (Author)
Graph Spectra for Complex Networks by Piet Van Mieghem
The Structure of Complex Networks: Theory and Applications by Ernesto Estrada (Author)
Networks of the Brain (MIT Press) by Olaf Sporns (Author)

Life: The Science of Biology, by David E. Sadava (Author), David M. Hillis (Author), H. Craig Heller (Author), May Berenbaum (Author)