Zobrazeno 1 - 10
of 9 517
pro vyhledávání: '"Gerstner A"'
Autor:
Gonçalves, Tiago, Pulido-Arias, Dagoberto, Willett, Julian, Hoebel, Katharina V., Cleveland, Mason, Ahmed, Syed Rakin, Gerstner, Elizabeth, Kalpathy-Cramer, Jayashree, Cardoso, Jaime S., Bridge, Christopher P., Kim, Albert E.
The interactions between tumor cells and the tumor microenvironment (TME) dictate therapeutic efficacy of radiation and many systemic therapies in breast cancer. However, to date, there is not a widely available method to reproducibly measure tumor a
Externí odkaz:
http://arxiv.org/abs/2404.16397
We consider the growth of a local operator $A$ in one-dimensional many-body systems with Hamiltonian $H$ by calculating the $k$-fold commutator $[H,[H,[...,[H,A]]]]$. We derive general bounds for the operator norm of this commutator in free and inter
Externí odkaz:
http://arxiv.org/abs/2401.08031
Autor:
BENDIG, ERIN (AUTHOR), GERSTNER, LISA (AUTHOR)
Publikováno v:
Kiplinger Personal Finance. Sep2024, Vol. 78 Issue 9, p40-48. 8p. 6 Color Photographs.
Any continuous function $f^*$ can be approximated arbitrarily well by a neural network with sufficiently many neurons $k$. We consider the case when $f^*$ itself is a neural network with one hidden layer and $k$ neurons. Approximating $f^*$ with a ne
Externí odkaz:
http://arxiv.org/abs/2311.01644
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract Objectives This article describes and tests a novel multi-method approach to examine decision-making: Virtual Reality-Based Retrospective Think-Aloud (VR-RTA). The VR-RTA method taps into the offender perspective and aims to enhance memory r
Externí odkaz:
https://doaj.org/article/4b7c1709d1f0425a84cc7b1e5f13ec36
Autor:
Stanojevic, Ana, Woźniak, Stanisław, Bellec, Guillaume, Cherubini, Giovanni, Pantazi, Angeliki, Gerstner, Wulfram
Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks (SNNs) than artificial neural networks (ANNs). This is puzzling given th
Externí odkaz:
http://arxiv.org/abs/2306.08744
Simultaneous behavioral and electrophysiological recordings call for new methods to reveal the interactions between neural activity and behavior. A milestone would be an interpretable model of the co-variability of spiking activity and behavior acros
Externí odkaz:
http://arxiv.org/abs/2306.03603
"You never forget how to ride a bike", -- but how is that possible? The brain is able to learn complex skills, stop the practice for years, learn other skills in between, and still retrieve the original knowledge when necessary. The mechanisms of thi
Externí odkaz:
http://arxiv.org/abs/2306.01690
Can we identify the weights of a neural network by probing its input-output mapping? At first glance, this problem seems to have many solutions because of permutation, overparameterisation and activation function symmetries. Yet, we show that the inc
Externí odkaz:
http://arxiv.org/abs/2304.12794
Autor:
Ana Stanojevic, Stanisław Woźniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks than artificial neural networks. This is puzzling given that th
Externí odkaz:
https://doaj.org/article/232a98336e0941d79563834bb5c1b24e