#### Filter Results:

- Full text PDF available (11)

#### Publication Year

2008

2017

- This year (2)
- Last 5 years (6)
- Last 10 years (10)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Brain Region

#### Key Phrases

#### Organism

Learn More

- Surya Ganguli, Dongsung Huh, Haim Sompolinsky
- Proceedings of the National Academy of Sciences…
- 2008

To perform nontrivial, real-time computations on a sensory input stream, biological systems must retain a short-term memory trace of their recent inputs. It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. This raises important questions about the fundamental limits of such… (More)

- Dongsung Huh, Terrence J. Sejnowski
- Proceedings of the National Academy of Sciences…
- 2015

In a planar free-hand drawing of an ellipse, the speed of movement is proportional to the -1/3 power of the local curvature, which is widely thought to hold for general curved shapes. We investigated this phenomenon for general curved hand movements by analyzing an optimal control model that maximizes a smoothness cost and exhibits the -1/3 power for… (More)

- Dongsung Huh
- ArXiv
- 2015

We present a novel, log-radius profile representation for convex curves and define a new operation for combining the shape features of curves. Unlike the standard, angle profile-based methods, this operation accurately combines the shape features in a visually intuitive manner. This method have implications in shape analysis as well as in investigating how… (More)

- Dongsung Huh, Emanuel Todorov
- ADPRL
- 2009

In this paper, we introduce a novel neural network architecture for motor control. Our general framework employs a recurrent neural network (RNN) to govern a dynamical system (body) in a closed loop fashion. This hybrid system is trained to behave as an interpreter that translates high-level motor plan into desired movement. Our method uses a variant of… (More)

- Dongsung Huh, Terrence J. Sejnowski
- ArXiv
- 2017

Much of studies on neural computation are based on network models of static neurons that produce analog output, despite the fact that information processing in the brain is predominantly carried out by dynamic neurons that produce discrete pulses called spikes. Research in spike-based computation has been impeded by the lack of efficient supervised learning… (More)

- Dongsung Huh, Terrence J. Sejnowski
- Proceedings of the National Academy of Sciences…
- 2016

Optimal control models of biological movements introduce external task factors to specify the pace of movements. Here, we present the dual to the principle of optimality based on a conserved quantity, called "drive," that represents the influence of internal motivation level on movement pace. Optimal control and drive conservation provide equivalent… (More)

Control-dependent (multiplicative) noise makes it difficult to achieve optimal control because large control signals amplify noise. This paper considers a minimal (one-dimensional) system that includes multiplicative noise and solves the optimal control problem for arbitrary cost functions. In a limit when the control-cost approaches zero, this formulation… (More)

- Dongsung Huh
- 2011

One of the interesting properties of curved hand movements is that the speed v is related to the curvature k through a power law: v(t) ∝ k(t)-1/3 , called the ⅔ power law (because the angular speed is proportional to k 2/3). Several models have been proposed to explain the origin of the ⅔ power law from optimality principle: the minimum jerk models to name… (More)

- Dongsung Huh
- 2017

The quadratic integrate-and-fire (QIF) model captures the normal form bifurcation dynamics of Type-I neurons found in cortex. Remarkably, this model is known to have a dual equivalent representation in terms of phase, called the θ-model, which has advantages for numerical simulations and analysis over the QIF model. Here, I investigate the nature of the… (More)

- Tatyana O. Sharpee, Alain Destexhe, +497 authors Randy K. Kalkman
- BMC Neuroscience
- 2016

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of… (More)