310 citations · 501 across the 11 of their papers we have counts for
11 papers
See and Copy: Generation of complex compositional movements from modular and geometric RNN representations
Sunny Duan, Mikail Khona, Adrian Bertagnoli +2
A hallmark of biological intelligence and control is combinatorial generalization: animals are able to learn various things, then piece them together in new combinations to produce…
Winning the lottery with neural connectivity constraints: faster learning across cognitive tasks with spatially constrained sparse RNNs
Mikail Khona, Sarthak Chandra, Joy J. Ma +1
Recurrent neural networks (RNNs) are often used to model circuits in the brain, and can solve a variety of difficult computational problems requiring memory, error-correction, or s…
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Sugandha Sharma, Sarthak Chandra, Ila R. Fiete
Content-addressable memory (CAM) networks, so-called because stored items can be recalled by partial or corrupted versions of the items, exhibit near-perfect recall of a small numb…
Critical Network Cascades with Re-excitable nodes: Why tree-like approximations usually work, when they breakdown, and how to correct them
Sarthak Chandra, Edward Ott, Michelle Girvan
Network science is a rapidly expanding field, with a large and growing body of work on network-based dynamical processes. Most theoretical results in this area rely on the so-calle…
Observing Microscopic Transitions from Macroscopic Bursts: Instability-Mediated Resetting in the Incoherent Regime of the -dimensional Generalized Kuramoto Model
Sarthak Chandra, Edward Ott
We consider a recently introduced -dimensional generalized Kuramoto model for many interacting agents in which the agent states are -dimensional unit vectors. It w…
Complexity Reduction Ansatz for Systems of Interacting Orientable Agents: Beyond The Kuramoto Model
Sarthak Chandra, Michelle Girvan, Edward Ott
Previous results have shown that a large class of complex systems consisting of many interacting heterogeneous phase oscillators exhibit an attracting invariant manifold. This resu…
Continuous versus Discontinuous Transitions in the -Dimensional Generalized Kuramoto Model: Odd is Different
Sarthak Chandra, Michelle Girvan, Edward Ott
The Kuramoto model, originally proposed to model the dynamics of many interacting oscillators, has been used and generalized for a wide range of applications involving the collecti…
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell +4
A model-based approach to forecasting chaotic dynamical systems utilizes knowledge of the physical processes governing the dynamics to build an approximate mathematical model of th…
Modeling the Network Dynamics of Pulse-Coupled Neurons
Sarthak Chandra, David Hathcock, Kimberly Crain +3
We derive a mean-field approximation for the macroscopic dynamics of large networks of pulse-coupled theta neurons in order to study the effects of different network degree distrib…
A finite-time exponent for random Ehrenfest gas
Sanjay Moudgalya, Sarthak Chandra, Sudhir R. Jain
We consider the motion of a system of free particles moving on a plane with regular hard polygonal scatterers arranged in a random manner. Calling this the Ehrenfest gas, which is…
Time resolved spectral analysis of the prompt emission of long gamma ray bursts with GeV Emission
A. R. Rao, Rupal Basak, J. Bhattacharya +4
We make a detailed time resolved spectroscopy of bright long gamma ray bursts (GRBs) which show significant GeV emissions (GRB 080916C, GRB 090902B, and GRB 090926A). In addition t…