Society for Neuroscience 2023

The MIT Press @ SfN 2023

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Machine Learning

Ethem Alpaydın

August 17, 2021

Statistical Analysis of fMRI Data

F. Gregory Ashby

September 17, 2019

Neurolinguistics

Giosuè Baggio

May 10, 2022

fMRI

Peter A. Bandettini

February 25, 2020

The Autobiography of a Transgender Scientist

Ben Barres, Nancy Hopkins

October 20, 2020

The Cortex and the Critical Point

John M. Beggs

August 30, 2022

The Hidden Life of the Basal Ganglia

Hagai Bergman

October 12, 2021

The Computational Brain

Patricia S. Churchland, Terrence J. Sejnowski

November 4, 2016

Neuroplasticity

Moheb Costandi

August 19, 2016

Body Am I

Moheb Costandi

October 4, 2022

Memory

Fergus Craik, Larry Jacoby

February 14, 2023

Seeing the Mind

Stanislas Dehaene

October 31, 2023

The Neurocognitive Theory of Dreaming

G. William Domhoff

October 4, 2022

Gradient Expectations

Keith L. Downing

July 18, 2023

Fertility Technology

Donna J. Drucker

March 7, 2023

What Makes Us Social?

Chris Frith, Uta Frith

September 12, 2023

How Your Brain Works

Greg Gage, Tim Marzullo

October 25, 2022

The Brain in Motion

Sten Grillner

October 31, 2023

Placebos

Kathryn T Hall

October 4, 2022

How Not to Study a Disease

Karl Herrup

March 7, 2023

Sentience

Nicholas Humphrey

March 14, 2023

Neurorobotics

Tiffany J. Hwu, Jeffrey L. Krichmar

November 29, 2022

Mind in Nature

Mark L. Johnson, Jay Schulkin

March 28, 2023

Context Changes Everything

Alicia Juarrero

June 20, 2023

The Feeling of Life Itself

Christof Koch

September 8, 2020

Of Sound Mind

Nina Kraus

September 27, 2022

Happiness

Tim Lomas

January 3, 2023

Bayesian Models of Perception and Action

Wei Ji Ma, Konrad Paul Kording, Daniel Goldreich

August 8, 2023

The Science-Music Borderlands

Elizabeth H. Margulis, Psyche Loui, Deirdre Loughridge

May 2, 2023

Sculptor and Destroyer

Mark P. Mattson

August 22, 2023

The Intermittent Fasting Revolution

Mark P. Mattson

April 4, 2023

On Disinformation

Lee McIntyre

August 22, 2023

Probabilistic Machine Learning

Kevin P. Murphy

March 1, 2022

Probabilistic Machine Learning

Kevin P. Murphy

August 15, 2023

A Theory of Everyone

Michael Muthukrishna

October 31, 2023

Open Minded

Ben R. Newell, David R. Shanks

August 8, 2023

CBD

Linda A. Parker, Erin M. Rock, Raphael Mechoulam

August 2, 2022

Active Inference

Thomas Parr, Giovanni Pezzulo, Karl J. Friston

March 29, 2022

Polyphonic Minds

Peter Pesic

September 13, 2022

The Entangled Brain

Luiz Pessoa

November 15, 2022

The Alchemy of Us

Ainissa Ramirez

April 6, 2021

Advice for a Young Investigator

Santiago Ramón y Cajal, Neely Swanson, Larry W. Swanson

February 27, 2004

Changing How We Choose

A. David Redish

December 6, 2022

Beyond the Self

Matthieu Ricard, Wolf Singer

November 13, 2018

Notebooks of a Wandering Monk

Matthieu Ricard, Jesse Browner

October 3, 2023

Causal Inference

Paul R. Rosenbaum

April 4, 2023

The Deep Learning Revolution

Terrence J. Sejnowski

October 23, 2018

Drugs and the FDA

Mikkael A. Sekeres

September 27, 2022

Just in Time

G. Gabrielle Starr

June 6, 2023

Model Systems in Biology

Georg F. Striedter

August 2, 2022

The Day after Yesterday

Joe Wallace, Greg O'Brien, Rudy Tanzi

October 3, 2023

Curious Minds

Perry Zurn, Dani S. Bassett

September 5, 2023

Computational Psychiatry

A. David Redish, Joshua A. Gordon, Joshua A. Gordon, A. David Redish, Michael Frank, Deanna M. Barch, Zeb Kurth-Nelson, John P. O'Doherty, Sophie Denève, Daniel Durstewitz, John H. Krystal, Alan Anticevic, John Murray, D. Glahn, Naomi Driesen, G. Yang, Xiao-Jing Wang, Angus MacDonald, Jennifer L. Zick, Theoden I. Netoff, Matthew V. Chafee, Nelson Totah, Huda Akil, Quentin J. M. Huys, Tiago V. Maia, Robert Malenka, Wolfgang Pauli, Michael B. First, Christoph Mathys, Karl J. Friston, Shelly B. Flagel, Daniel S. Pine, Susanne E. Ahmari, Katharina Schmack, Jordan W. Smoller, Anita Thapar, Martin P. Paulus, Crane Huang, Katia M. Harle, P. Read Montague, Rosalyn Moran, Klaas Enno Stephan, Matthew M. Botvinick, Michael Breakspear, Cameron S. Carter, Peter W. Kalivas, Frederike Petzschner

November 1, 2022

Exploring and Exploiting Genetic Risk for Psychiatric Disorders

Joshua A. Gordon, Elisabeth Binder

October 10, 2023

Mind Design III

John Haugeland, Carl F. Craver, Colin Klein

November 21, 2023

Deliberate Ignorance

Ralph Hertwig, Christoph Engel

March 2, 2021

Youth Mental Health

Peter J. Uhlhaas, Stephen J. Wood, Joanne S. Carpenter, Ian B. Hickie, Frank Iorfino, Elizabeth M. Scott, Nicholas B Allen, Shelli Avenevoli, Christoph U. Correll, Helen L. Fisher, Beatriz Luna, Dost Öngür, Jai Shah, Alison R. Yung, Damien A Fair, Leslie Leve, Christopher M. Niell, Fred Sabb, Hannah F. Behrendt, Kerstin Konrad, Tolulope Bella-Awusah, Cindy H. Liu, Urvakhsh Meherwan Mehta, George C. Patton, Tomáš Paus, Ulrich Reininghaus, Gunter Schumann, Ezra Susser, Stephen J. Wood, Lawrence H. Yang, Byron K. Y. Bitanihirwe, T. Wilson Woo, Matcheri S. Keshavan, Shreya V. Nellur, Christopher G. Davey, Sophia Frangou, Francis Lee, Andreas Meyer-Lindenberg, Akira Sawa, Mario Alvarez-Jimenez, G. Paul Amminger, Andrew M. Chanen, John Gleeson, Drew A Blasco, Shane D. Colombo, Sarah A. Lieff, Bernalyn Ruiz, Phuong Thao D. Le, John Cahill, Vinod H. Srihari, Eric Y. H. Chen, Kim Q. Do, Robert K. Heinssen, Patrick D. McGorry, Merete Nordentoft, Michael Schoenbaum, John Torous, Swapna K. Verma, Peter B. Jones

April 28, 2020

The Neocortex

Pasko Rakic, Terrence J. Sejnowski, Wolf Singer

October 29, 2019

Interactive Task Learning

Kevin A. Gluck, John E. Laird

September 10, 2019

Understanding Deep Learning

Simon J. D. Prince

December 5, 2023

Journals

Imaging Neuroscience is an open access non-profit journal. The scope of the journal includes research that significantly contributes to the understanding of brain function, structure, and behavior through the application of neuroimaging, as well as major advances in brain imaging methods. The focus is on imaging of the brain and spinal cord, in humans and other species, and includes neurophysiological and neuromodulation methods.

Neurobiology of Language provides a new venue for articles across a range of disciplines addressing the neurobiological basis of speech and language. Offering open access publishing, rigorous double-blind peer review, and quick turnaround times for authors, the journal aims to facilitate the replicability of experimental findings through modern open science requirements such as sharing of raw data and detailed methods.

Neural Computation disseminates important, multidisciplinary research in theory, modeling, computation, and statistics in neuroscience and in the design and construction of neurally inspired information processing systems. This field attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators working on the neural systems underlying perception, emotion, cognition, and behavior, and artificial neural systems that have similar capabilities. Powerful new experimental technologies being developed by the BRAIN Initiative will produce large, complex data sets, and rigorous statistical analysis and theoretical insight will be essential for understanding what these data mean. Timely, short communications, full-length research articles, and reviews focus on advances in the field and cover all aspects of neural computation.

Network Neuroscience features innovative scientific work that significantly advances our understanding of network organization and function in the brain across all scales, from molecules and neurons to circuits and systems.

Positioned at the intersection of brain and network sciences, the journal covers empirical and computational studies that record, analyze or model relational data among elements of neurobiological systems, including neuronal signaling and information flow in circuits, patterns of functional connectivity recorded with electrophysiological or imaging methodology, studies of anatomical connections among neurons and brain regions, and interactions among biomolecules or genes. The journal aims to cover studies carried out in all neurobiological systems and all species, including humans.

The Journal of Cognitive Neuroscience investigates brain-behavior interactions and promotes a lively interchange among the mind sciences. Contributions address both descriptions of function and underlying brain events and reflect the interdisciplinary nature of the field, covering developments in neuroscience, neuropsychology, and cognitive psychology.