4 citations · 4 across the 5 of their papers we have counts for
5 papers
Simulated Language Acquisition in a Biologically Realistic Model of the Brain
Daniel Mitropolsky, Christos Papadimitriou
Despite tremendous progress in neuroscience, we do not have a compelling narrative for the precise way whereby the spiking of neurons in our brain results in high-level cognitive p…
The Architecture of a Biologically Plausible Language Organ
Daniel Mitropolsky, Christos H. Papadimitriou
We present a simulated biologically plausible language organ, made up of stylized but realistic neurons, synapses, brain areas, plasticity, and a simplified model of sensory percep…
Computation with Sequences in a Model of the Brain
Max Dabagia, Christos H. Papadimitriou, Santosh S. Vempala
Even as machine learning exceeds human-level performance on many applications, the generality, robustness, and rapidity of the brain's learning capabilities remain unmatched. How c…
Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
Daniel Mitropolsky, Adiba Ejaz, Mirah Shi +2
A computational system implemented exclusively through the spiking of neurons was recently shown capable of syntax, that is, of carrying out the dependency parsing of simple Englis…
Planning with Biological Neurons and Synapses
Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi +2
We revisit the planning problem in the blocks world, and we implement a known heuristic for this task. Importantly, our implementation is biologically plausible, in the sense that…