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Decision Making and the Brain
In this talk, we will examine human behavior from the perspective of the choices we make every day. We will study the role of the brain in enabling these decisions and discuss some simple computational models of decision making and the neural basis. Towards the end, we will have a short, interactive session to engage in some easy decisions that will help us discover our own biases.
Data spaces: category (sheaf) theory and phenomenology
In this talk, I’ll introduce the formal concept of a (pre)sheaf as data attached to a topological space. Sheaves capture the notion of patching local sources of information to form a global whole, e.g., the binding of visual features such as colour and shape. The formal theory appears to be closely related to the foundational properties asserted by the Information Integration Theory (IIT) for phenomenology. A comparison is intended to engender discussion on ways that phenomenology may benefit from a sheaf theory, or (more generally) a category theory approach.
Of Grids and Maps
Neuroscientific methods successfully account for a system’s functional properties, but leave out the subjective properties of the accompanying experience. According to IIT, phenomenology can be studied scientifically by unfolding the cause-effect structure specified by a system. To illustrate how, in this talk I compare two systems (a grid and a map) to show that they can be functionally equivalent in performing fixation, but only one can specify a cause-effect structure that accounts for the extendedness of phenomenal space.
In search of me: a theoretical approach to identify the neural substrate of consciousness
A major neuroscientific challenge is to identify the neural mechanisms that support consciousness. Though experimental studies have accumulated evidence about the location of the neural substrate of consciousness, we still lack a full understanding of why certain brain areas, but not others, can support consciousness. In this talk, I will give an overview of our approach, taking advantage of the theoretical framework provided by Integrated Information Theory (IIT). First, I will introduce results showing that a maximum of integrated information within the human brain matches our best evidence concerning the location of the NSC, supporting the IIT’s prediction. Furthermore, I will discuss the possibility that the NSC can change its location and even split into two depending on the task demand. Finally, based on some graph-theoretical analyses, I will argue that the ability of different brain regions to contribute or not to consciousness depends on specific properties of their anatomical connectivity, which determines their ability to support high integrated information.
Integrated Information Theory and Its Implications for Free Will
Integrated information theory (IIT) takes as its starting point phenomenology, rather than behavioral, functional, or neural correlates of consciousness. The theory characterizes the essential properties of phenomenal existence—which is immediate and indubitable. These are translated into physical properties, expressed operationally as cause-effect power, which must be satisfied by the neural substrate of consciousness. On this basis, the theory can account for clinical and experimental data about the presence and absence of consciousness. Current work aims at accounting for specific qualities of different experiences, such as spatial extendedness and the flow of time. Several implications of IIT have ethical relevance. One is that functional equivalence does not imply phenomenal equivalence—computers may one day be able to do everything we do, but they will not experience anything. Another is that we do have free will in the fundamental, metaphysical sense—we have true alternatives and we, not our neurons, are the true cause of our willed actions.
Brain Awareness Week @ IITGN
Using Systems Neuroscience Approaches to Understand Motor Learning & Recovery Post-Stroke
Brain Awareness Week @ IITGN
Bilingualism and its link to cognition
Brain Awareness Week @ IITGN
A quarter century of the maddening hunt for madness genes: what is to be done
Brain Awareness Week @ IITGN
A Panel Discussion to enumerate the many challenges that lie for AI and what it means for the Neuroethics community at large and how we should go about addressing it.
Brain Awareness Week @ IITGN
Behaviourism is dead. But what did the 'cognitive revolution' do with the leftover - the idea of 'mind' that nobody seems to want anything to do with, even philosophers. Is studying the brain the same as studying the mind ? Do you need to 'see' inside the brain to study the brain ? Or mind ? How does the tools of behaviourism help ?
Brain Awareness Week @ IITGN
Traumatic injury in the nervous system leads to devastating consequences such as paralysis. The regenerative capacity of the nervous system is limited in adulthood. In this talk, Dr. Anindya would be sharing how the simple nematode C. elegans with its known connectome can inform us about the biology of nervous system repair.
Brain Awareness Week by IIT Gandhinagar
The Brain Awareness Week by the Centre for Cognitive and Brain Sciences, IIT Gandhinagar spans across 7 days and invites you for a series of talks, panel discussions, competitions and workshops on topics ranging from 'Using songbirds to understand how the brain initiates movements' to 'Cognitive Science and UX in Game Design' by speakers from prestigious Indian and International institutes. Explore the marvels of the brain by joining us on 15th March. Free Registration.
The 3 Cs: Collaborating to Crack Consciousness
Every day when we fall asleep we lose consciousness, we are not there. And then, every morning, when we wake up, we regain it. What mechanisms give rise to consciousness, and how can we explain consciousness in the realm of the physical world of atoms and matter? For centuries, philosophers and scientists have aimed to crack this mystery. Much progress has been made in the past decades to understand how consciousness is instantiated in the brain, yet critical questions remain: can we develop a consciousness meter? Are computers conscious? What about other animals and babies? We have embarked in a large-scale, multicenter project to test, in the context of an open science, adversarial collaboration, two of the most prominent theories: Integrated information theory (IIT) and Global Neuronal Workspace (GNW) theory. We are collecting over 500 datasets including invasive and non-invasive recordings of the human brain, i.e.. fMRI, MEG and ECoG. We hope this project will enable theory-driven discoveries and further explorations that will help us better understand how consciousness fits inside the human brain.
Treating neurodevelopmental disorders: challenges, issues, problems, concerns, difficulties, harms, worries, doubts, but we need to start from somewhere
Neurodevelopmental disorders are a group of very heterogeneous diseases in which the development of the central nervous system is defective. In neurodevelopmental disorders defective brain development translates into aberrant brain function, which can manifest for example as impaired learning, motor function, or social interaction. Despites years of investigation in animal models and clinical research on neurodevelopmental disorders, there are currently no approved pharmacological treatments for core symptoms of the vast majority of them. Here, I will share some recent work (but also some apprehensions) of our laboratory on the development of strategies for the treatment of neurodevelopmental disorders, with a focus on Down syndrome.
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