2 code implementations • 24 Dec 2011 • Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, Máté Lengyel
Information theoretic active learning has been widely studied for probabilistic models.
no code implementations • NeurIPS 2011 • Balazs B. Ujfalussy, Máté Lengyel
Computational analyses of dendritic computations often assume stationary inputs to neurons, ignoring the pulsatile nature of spike-based communication between neurons and the moment-to-moment fluctuations caused by such spiking inputs.
no code implementations • NeurIPS 2011 • Cristina Savin, Peter Dayan, Máté Lengyel
Storing a new pattern in a palimpsest memory system comes at the cost of interfering with the memory traces of previously stored items.
no code implementations • NeurIPS 2009 • Jean-Pascal Pfister, Peter Dayan, Máté Lengyel
Synapses exhibit an extraordinary degree of short-term malleability, with release probabilities and effective synaptic strengths changing markedly over multiple timescales.