Narayan Srinivasa
Electrical and Electronic Engineering · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 31 citations into it; #10,216 of 16,539 by trust here, #4,846 by citations
- Cellular and Molecular Neuroscience — 24 citations into it
- Cognitive Neuroscience — 21 citations into it; #7,071 of 10,852 by trust here, #3,802 by citations
- Neuroscience — 6 citations into it
- Reinforcement Learning — 5 citations into it
Whom Narayan Srinivasa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wulfram Gerstner
- Wolfram Schultz
- Eugene M. Izhikevich
- Razvan V. Florian
- Richard S. Sutton
- William B. Levy
- Xiaohui S. Xie
- Andrew Barto
- Sen Song
- Misha Tsodyks
Who trusts Narayan Srinivasa overall
Papers from Narayan Srinivasa's perspective
Ordered by how strongly the researchers Narayan Srinivasa trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus.
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Solving the distal reward problem through linkage of STDP and dopamine signaling
- Learning in neural networks by reinforcement of irregular spiking.
- Spiking Neuron Models
- Conditioned Reflexes
- Introduction to Reinforcement Learning
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
Their papers
- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning (2018) — 3,577 citations
- A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. (2012) — 886 citations
- A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards (2013) — 19 citations