Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Karuvally, Arjun"'
Traveling waves are a fundamental phenomenon in the brain, playing a crucial role in short-term information storage. In this study, we leverage the concept of traveling wave dynamics within a neural lattice to formulate a theoretical model of neural
Externí odkaz:
http://arxiv.org/abs/2402.10163
Autor:
Karuvally, Arjun, Moss, J. Eliot B.
In resource limited computing systems, sequence prediction models must operate under tight constraints. Various models are available that cater to prediction under these conditions that in some way focus on reducing the cost of implementation. These
Externí odkaz:
http://arxiv.org/abs/2310.03865
Understanding the intricate operations of Recurrent Neural Networks (RNNs) mechanistically is pivotal for advancing their capabilities and applications. In this pursuit, we propose the Episodic Memory Theory (EMT), illustrating that RNNs can be conce
Externí odkaz:
http://arxiv.org/abs/2310.02430
The General Associative Memory Model (GAMM) has a constant state-dependant energy surface that leads the output dynamics to fixed points, retrieving single memories from a collection of memories that can be asynchronously preloaded. We introduce a ne
Externí odkaz:
http://arxiv.org/abs/2212.05563
Autor:
Karuvally, Arjun
One popular generative model that has high-quality results is the Generative Adversarial Networks(GAN). This type of architecture consists of two separate networks that play against each other. The generator creates an output from the input noise tha
Externí odkaz:
http://arxiv.org/abs/1802.07401