Grace Lindsay
(1990?-)
Grace Lindsay is Assistant Professor of Psychology and Neural Science and Assistant Professor of Data Science at New York University.
She studies how neural activity and architectures lead to perception, cognition, and action. Her methodology involves building artificial neural networks inspired by biology that are trained to perform impressive perceptual and cognitive tasks. By using the tools of psychology and neuroscience to probe how these networks work, she generates hypotheses for how such behavior could arise from real neural systems. She is also interested in using these networks to develop and test new tools for studying brains.
She is pursuing specific topic areas including visual attention, perceptual learning, and multi-sensory integration.
She is the author of
Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain. Here are book cover notes...
The human brain is made up of 85 billion neurons, which are
connected by more than 100 trillion synapses. For more than a
century, a diverse array of researchers searched for a language that
could be used to capture the essence of what these neurons do
and how they communicate ~ and how those communications
create thoughts, perceptions and actions. The language they
were looking for was mathematics, and we would not be able to
understand the brain as we do today without it.
In Models of the Mind, computational neuroscientist Grace Lindsay
explains how mathematical models have allowed scientists to
understand and describe many of the brain's processes, including
decision-making, sensory processing, quantifying memory, and
more. She introduces readers to the most important concepts in
modern neuroscience, and highlights the tensions that arise when
the abstract world of mathematical modelling collides with the
messy details of biology.
Models of the Mind focuses on the mathematical tools that have
been applied in various areas of neuroscience, progressing from
the simplest building block of the brain - the individual neuron
- through to circuits of interacting neurons, whole brain areas,
and even the actions that brains command. In addition, Lindsay
examines the history of the field, from experiments on frogs in
the 18th century to the artificial neural networks that form the
basis of modern artificial intelligence. Throughout, she reveals the
value of using the elegant language of mathematics to describe
the machinery of neuroscience.
Her personal website is
gracewlindsay.com
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