Butterfly effects in perceptual development: A review of the 'adaptive initial degradation' hypothesis

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Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

Deep neural networks (DNN) have become an essential tool to tackle challenging tasks in many fields of computer science. However, their high computational complexity limits their applicability. Specialized DNN accelerators have been developed to accommodat ...

EPFL2023

Computational Concepts for Reconstructing and Simulating Brain Tissue

Srikanth Ramaswamy, Felix Schürmann, Jean-Denis Georges Emile Courcol

It has previously been shown that it is possible to derive a new class of biophysically detailed brain tissue models when one computationally analyzes and exploits the interdependencies or the multi-modal and multi-scale organization of the brain. These re ...

Springer2022

Prenatal auditory experience and its sequelae

Lukas Vogelsang, Marin Vogelsang

Towards the end of the second trimester of gestation, a human fetus is able to register environmental sounds. This in utero auditory experience is characterized by comprising strongly low-pass-filtered versions of sounds from the external world. Here, we p ...

2022

Real-Time fMRI Neurofeedback: Methods and Application to Chronic Tinnitus

Nicolas Gninenko

In the last twenty years, advances in real-time functional magnetic resonance imaging (rt-fMRI) have offered exciting new tools to study the human brain. One of them, termed rt-fMRI neurofeedback (NF), has turned the MRI scanner environment into an interac ...

EPFL2022

Cortical sensory processing across motivational states during goal-directed behavior

Carl Petersen, Matthieu Pierre Auffret, Georgios Foustoukos, Sami El-Boustani, Johannes Maria Mayrhofer, Maëlle Guyoton

Behavioral states can influence performance of goal-directed sensorimotor tasks. Yet, it is unclear how altered neuronal sensory representations in these states relate to task performance and learning. We trained water-restricted mice in a two-whisker disc ...

2022

Computational tools and resources for designing new pathways to small molecules

Vassily Hatzimanikatis, Anastasia Sveshnikova

The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...

CURRENT BIOLOGY LTD2022

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Carl Petersen, Sylvain Crochet, Romain Guiet, Vahid Esmaeili, Georgios Foustoukos, Yanqi Liu, Keita Tamura, Anastasiia Oryshchuk, Reza Asri

Excitatory and inhibitory neurons in diverse cortical regions are likely to contribute differentially to the transformation of sensory information into goal-directed motor plans. Here, we investigate the relative changes across mouse sensorimotor cortex in ...

2022

A Compressive Sensing Framework for EMI Source Localization Using a Metalens Structure: Localization Beyond the Diffraction Limit

Marcos Rubinstein, Mohammad Azadifar, Farhad Rachidi-Haeri, Hamidreza Karami

In this article, we propose a novel approach for the localization of electromagnetic interference (EMI) sources based on the concept of compressive sensing and metalenses. We show that using the spatial and frequency dispersion offered by the metalens, we ...

2022

Computational model of the dorsal horn circuitry for innocuous touch

Silvestro Micera, Simone Romeni

Providing a naturalistic tactile sensory feedback is currently one of the key challenges in neuroprosthetics. Modeling has played a fundamental role in the development of "biomimetic" stimulation protocols, determining optimal activation patterns to be eli ...

IEEE2021

The perspectives of mapping and monitoring of the sense of self in neurosurgical patients

Olaf Blanke, Bruno Herbelin, Hyeongdong Park, Sophie Jacqueline Andrée Betka, Pavo Orepic, Sixto Luis Alcoba Banqueri, Giannina Rita Iannotti

Surgical treatment of tumors, epileptic foci or of vascular origin, requires a detailed individual pre-surgical workup and intra-operative surveillance of brain functions to minimize the risk of post-surgical neurological deficits and decline of quality of ...

SPRINGER WIEN2021

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A Compressive Sensing Framework for EMI Source Localization Using a Metalens Structure: Localization Beyond the Diffraction Limit

Marcos Rubinstein, Mohammad Azadifar, Farhad Rachidi-Haeri, Hamidreza Karami

2022

Computational model of the dorsal horn circuitry for innocuous touch

Silvestro Micera, Simone Romeni

IEEE2021