Zobrazeno 1 - 10
of 590
pro vyhledávání: '"Petrovici, Mihai A"'
Autor:
Brandt, Simon, Petrovici, Mihai Alexandru, Senn, Walter, Wilmes, Katharina Anna, Benitez, Federico
Brains can process sensory information from different modalities at astonishing speed; this is surprising as the integration of inputs through the membrane of each individual neuron already causes a delayed response. Neuronal recordings {\em in vitro
Externí odkaz:
http://arxiv.org/abs/2405.14810
Autor:
Göltz, Julian, Weber, Jimmy, Kriener, Laura, Billaudelle, Sebastian, Lake, Peter, Schemmel, Johannes, Payvand, Melika, Petrovici, Mihai A.
Spiking neural networks (SNNs) inherently rely on the timing of signals for representing and processing information. Incorporating trainable transmission delays, alongside synaptic weights, is crucial for shaping these temporal dynamics. While recent
Externí odkaz:
http://arxiv.org/abs/2404.19165
Autor:
Stradmann, Yannik, Göltz, Julian, Petrovici, Mihai A., Schemmel, Johannes, Billaudelle, Sebastian
With an increasing presence of science throughout all parts of society, there is a rising expectation for researchers to effectively communicate their work and, equally, for teachers to discuss contemporary findings in their classrooms. While the com
Externí odkaz:
http://arxiv.org/abs/2404.16664
Autor:
Ellenberger, Benjamin, Haider, Paul, Jordan, Jakob, Max, Kevin, Jaras, Ismael, Kriener, Laura, Benitez, Federico, Petrovici, Mihai A.
How physical networks of neurons, bound by spatio-temporal locality constraints, can perform efficient credit assignment, remains, to a large extent, an open question. In machine learning, the answer is almost universally given by the error backpropa
Externí odkaz:
http://arxiv.org/abs/2403.16933
Autor:
Kriener, Laura, Völk, Kristin, von Hünerbein, Ben, Benitez, Federico, Senn, Walter, Petrovici, Mihai A.
Behavior can be described as a temporal sequence of actions driven by neural activity. To learn complex sequential patterns in neural networks, memories of past activities need to persist on significantly longer timescales than the relaxation times o
Externí odkaz:
http://arxiv.org/abs/2402.16763
Autor:
Schreiber, Korbinian, Wunderlich, Timo, Spilger, Philipp, Billaudelle, Sebastian, Cramer, Benjamin, Stradmann, Yannik, Pehle, Christian, Müller, Eric, Petrovici, Mihai A., Schemmel, Johannes, Meier, Karlheinz
Bees display the remarkable ability to return home in a straight line after meandering excursions to their environment. Neurobiological imaging studies have revealed that this capability emerges from a path integration mechanism implemented within th
Externí odkaz:
http://arxiv.org/abs/2401.00473
Minimization of cortical prediction errors has been considered a key computational goal of the cerebral cortex underlying perception, action and learning. However, it is still unclear how the cortex should form and use information about uncertainty i
Externí odkaz:
http://arxiv.org/abs/2309.16046
Autor:
Göltz, Julian, Billaudelle, Sebastian, Kriener, Laura, Blessing, Luca, Pehle, Christian, Müller, Eric, Schemmel, Johannes, Petrovici, Mihai A.
Recent efforts have fostered significant progress towards deep learning in spiking networks, both theoretical and in silico. Here, we discuss several different approaches, including a tentative comparison of the results on BrainScaleS-2, and hint tow
Externí odkaz:
http://arxiv.org/abs/2309.10823
Semantic representations in higher sensory cortices form the basis for robust, yet flexible behavior. These representations are acquired over the course of development in an unsupervised fashion and continuously maintained over an organism's lifespan
Externí odkaz:
http://arxiv.org/abs/2308.01830
Autor:
Farisco, Michele, Baldassarre, Gianluca, Cartoni, Emilio, Leach, Antonia, Petrovici, Mihai A., Rosemann, Achim, Salles, Arleen, Stahl, Bernd, van Albada, Sacha J.
Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to underlying theore
Externí odkaz:
http://arxiv.org/abs/2305.10938