The ventral intraparietal area (VIP) receives converging inputs from visual, somatosensory, auditory and vestibular systems that use diverse reference frames to encode sensory information. A key issue is how VIP combines those inputs together. We mapped the visual and tactile receptive fields of multimodal VIP neurons in macaque monkeys trained to gaze at three different stationary targets. Tactile receptive fields were found to be encoded into a single somatotopic, or head-centered, reference frame, whereas visual receptive fields were widely distributed between eye- to head-centered coordinates. These findings are inconsistent with a remapping of all sensory modalities in a common frame of reference. Instead, they support an alternative model of multisensory integration based on multidirectional sensory predictions (such as predicting the location of a visual stimulus given where it is felt on the skin and vice versa). This approach can also explain related findings in other multimodal areas.

Reference frames for representing visual and tactile locations in parietal cortex.

http://safarmer.com/indo-eurasian/snakes.brain.pdf

Snakes as agents of evolutionary change in primate brains

Goal-related activity in V4 during free viewing visual search. Evidence for a ventral stream visual salience map.

The integration of visual and auditory events is thought to require a joint representation of visual and auditory space in a common reference frame. We investigated the coding of visual and auditor...

/pdf/eye-centered-head-centered-and-complex-coding-of-visual-and-x5gsvstwlc.pdf

Eye-Centered, Head-Centered, and Complex Coding of Visual and Auditory Targets in the Intraparietal Sulcus

fMRI reveals a preference for near viewing in the human parieto-occipital cortex

http://www.allmanlab.caltech.edu/PDFs/RosenbluthAllman2002.pdf?origin=publication_detail

The Effect of Gaze Angle and Fixation Distance on the Responses of Neurons in V1, V2, and V4

This paper presents Granger Causality as a method for inferring communications links among a collection of wireless transmitters from externally measurable features. The link inference method presented relies upon general assumptions that hold true for a wide variety of communications, and is therefore applicable to inferring the link topology of broad classes of wireless networks, regardless of the nature of the Medium Access Control (MAC) protocol used. This technique does not require decoding of data and can be used to infer links based upon features of communications observable from outside the network. We illustrate the use of this method on simulated NS3 data to infer the topology of ad-hoc 802.11 networks. The accuracy, convergence rate, and robustness to noise of link inference are presented for networks of different sizes, link densities, etc.

Inferring Wireless Communications Links and Network Topology from Externals Using Granger Causality

Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The receptor array may include one or more receptors. Each receptor may have multiple sub-receptors to manage different types of information or distinct data ranges. Furthermore, the receptor array may include regions of different resolution, such as a fovea, a peri-fovea surrounding the fovea, and a periphery surrounding the peri-fovea.

Receptor array for managing network traffic data

Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The lens and receptor array can be used alone or together. The receptor array may be configured as a foveated array having regions of different resolution. A saccade controller may also be included for controlling operation of the lens and the receptor array.

Imaging system for network traffic data

Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The lens may filter the data based upon predetermined criteria and provide the filtered data for subsequent visual display or further processing. The lens may zoom into or away from a particular section of the address space or on other information of interest.

David Rosenbluth

Papers

The Effect of Gaze Angle and Fixation Distance on the Responses of Neurons in V1, V2, and V4

Inferring Wireless Communications Links and Network Topology from Externals Using Granger Causality

Receptor array for managing network traffic data

Imaging system for network traffic data

Lens-based apparatus and method for filtering network traffic data