Word-sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious.
Computational neuroscience is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
Terrence Joseph Sejnowski is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.
The Conference and Workshop on Neural Information Processing Systems is a machine learning and computational neuroscience conference held every December. Along with ICLR and ICML, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research.
Neuroinformatics is the emergent field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks. There are three main directions where neuroinformatics has to be applied:
Neural coding is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the neuronal responses, and the relationship among the electrical activities of the neurons in the ensemble. Based on the theory that sensory and other information is represented in the brain by networks of neurons, it is believed that neurons can encode both digital and analog information.
Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. These models leverage timing of discrete spikes as the main information carrier.
Bayesian approaches to brain function investigate the capacity of the nervous system to operate in situations of uncertainty in a fashion that is close to the optimal prescribed by Bayesian statistics. This term is used in behavioural sciences and neuroscience and studies associated with this term often strive to explain the brain's cognitive abilities based on statistical principles. It is frequently assumed that the nervous system maintains internal probabilistic models that are updated by neural processing of sensory information using methods approximating those of Bayesian probability.
The White House BRAIN Initiative is a collaborative, public-private research initiative announced by the Obama administration on April 2, 2013, with the goal of supporting the development and application of innovative technologies that can create a dynamic understanding of brain function.
The Bernstein Network is a research network in the field of computational neuroscience; this field brings together experimental approaches in neurobiology with theoretical models and computer simulations. It unites different scientific disciplines, such as physics, biology, mathematics, medical science, psychology, computer science, engineering and philosophy in the endeavor to understand how the brain functions. The close combination of neurobiological experiments with theoretical models and computer simulations allows scientists of the Bernstein Network to pursue innovative approaches with regard to one of the most complex structures nature has created in the course of evolution: the natural brain.
Konrad Paul Körding is a German neuroscience professor at the University of Pennsylvania and co-founder of Neuromatch and the Community for Rigor. He is known for his contributions to the fields of motor control, neural data methods, and computational neuroscience, as well as his advocacy and contribution to open science and scientific rigor.
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
Anthony M. Zador is an American neuroscientist and the Alle Davis Harris Professor of Biology and Chair of Neuroscience at Cold Spring Harbor Laboratory. He is a co-founder, in 2004, of the Computational and Systems Neuroscience (COSYNE) conference, and of the NAISYS meeting about the intersection of neuroscience and artificial intelligence. Dr. Zador's research has focused on understanding the circuits of the auditory cortex in rodents. More recently, he has pioneered a new approach to connectome mapping using the methods of molecular biology, which may dramatically decrease the cost and improve the speed of mapping neuronal circuits at the single cell level.
Wei Ji Ma is a professor at New York University in the Department of Psychology and the Center for Neural Science. Ma focuses on the areas of perception, decision-making, and memory. He holds a PhD in theoretical physics from University of Groningen in the Netherlands. Ma is the 2021 recipient of the Jeffrey L. Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society.
The International Brain Laboratory (IBL) is a collaborative research group that aims to develop the first global model of decision making in mice. In its first phase, IBL members are recording 100,000's of neurons across virtually all brain structures in mice performing the very same decision. IBL was officially launched in September 2017 thanks to a $10 million grant from Simons Foundation and a £10 million grant from the Wellcome Trust.
Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applications of semantic parsing include machine translation, question answering, ontology induction, automated reasoning, and code generation. The phrase was first used in the 1970s by Yorick Wilks as the basis for machine translation programs working with only semantic representations. Semantic parsing is one of the important tasks in computational linguistics and natural language processing.
Li Zhaoping, born in Shanghai, China, is a neuroscientist at the University of Tübingen in Germany. She is the only woman to win the first place in CUSPEA, a 1980s annual national physics admission examination in China, during CUSPEA's 10-year history (1979–1989). She proposed V1 Saliency Hypothesis (V1SH), and is the author of Understanding vision: theory, models, and data published by Oxford University Press.
Alexandre Pouget is a full Professor at the University of Geneva in the department of basic neurosciences.
Surya Ganguli is a university professor at Stanford University and a visiting research professor at Google. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cognitive functions. He is also known for being a prolific public speaker and lecturer, having been invited to give over 200 talks at various universities, institutes, workshops, conferences, and symposiums since 2005.
Alexei Koulakov is a theoretical physicist and a neuroscientist. He is the Charles Robertson Professor of Neuroscience at the Cold Spring Harbor Laboratory.
