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David C Bradley

Publications and source records attributed to David C Bradley.

5 recordsLinked to original sources

An acute method for multielectrode recording from the interior of sulci and other deep brain areas.

Most current techniques for multielectrode recording involve chronically implanting planar or staggered arrays of electrodes. Such chronic implants are suited for studying a stable population of neurons over long periods of time but exploratory studies of the physiological properties of cortical subdivisions require the ability to sample multiple neural populations. This makes it necessary to penetrate frequently with small multielectrode assemblies. Some commercial systems allow daily penetrations with multiple electrodes, but they tend to be bulky, complex and expensive, and some make no provision for piercing the barrier of fibrous tissue that often covers the brain surface. We describe an apparatus for inserting bundles of 3-16 electrodes on a daily basis, thus allowing different neural populations to be sampled. The system is designed to allow penetration through a thick dura mater into deep brain structures. We discuss a simple method for performing multielectrode recording from cortical areas buried inside sulci using acute implantations of a bundle of electrodes. Our results show that it is possible to obtain stable recordings for at least 4h and that repeated implantations yield an average of two neurons per electrode with every electrode in the bundle picking up at least one single neuron in 70% of the implantations.

Action Potentials↗

A relational database for trial-based behavioral experiments.

We describe a relational database (RDB) structure suitable for trial-based experiments such as human psychophysics and neural recording studies in trained animals. An RDB is a collection of tables, each composed of columns. Some of the tables contain columns that reference specific columns of other tables. This referencing system links the tables to each other and makes it possible to extract any subset of the data with trivial commands. An equally important advantage of an RDB is that it imposes a consistent data format on applications that generate and analyze data. The result is a centralization and standardization of data storage that facilitates the pooling, cross-checking and re-analysis of data from various experiments. We present a robust RDB structure originally designed for neurophysiological data; however, it is abstract enough to accommodate data from a variety of trial-based experimental designs. Moreover, we demonstrated the advantages of this RDB structure and indicated its implementation in other laboratories.

Algorithms↗

Structure and function of visual area MT.

The small visual area known as MT or V5 has played a major role in our understanding of the primate cerebral cortex. This area has been historically important in the concept of cortical processing streams and the idea that different visual areas constitute highly specialized representations of visual information. MT has also proven to be a fertile culture dish--full of direction- and disparity-selective neurons--exploited by many labs to study the neural circuits underlying computations of motion and depth and to examine the relationship between neural activity and perception. Here we attempt a synthetic overview of the rich literature on MT with the goal of answering the question, What does MT do?

Animals↗

Neural population code for fine perceptual decisions in area MT.

In the middle temporal (MT) area of primates, many motion-sensitive neurons with a wide range of preferred directions respond to a stimulus moving in a single direction. These neurons are involved in direction perception, but it is not clear how perceptual decisions are related to the population response. We recorded the activities of MT neurons in rhesus monkeys while they discriminated closely related directions, and examined the relationship between the activities of neurons tuned to different directions and the monkeys' choices. Perceptual decisions were significantly correlated with the activities of the highest-precision neurons but not with those of the lowest-precision neurons. The combined performance of the high-precision neurons matched the monkeys' behavior, whereas the ability to predict behavior based on the entire active population was poor. These results suggest that fine discrimination decisions are crucially dependent on the activities of the most informative neurons.

Animals↗

Neural correlates of structure-from-motion perception in macaque V1 and MT.

Structure-from-motion (SFM) is the perception of three-dimensional shape from motion cues. We used a bistable SFM stimulus, which can be perceived in one of two different ways, to study how neural activity in cortical areas V1 and MT is related to SFM perception. Monkeys performed a depth-order task, where they indicated in which direction the front surface of a rotating SFM cylinder display was moving. To prevent contamination of the neural data because of eye position effects, all experiments with significant effects of radius, vergence, and velocity were excluded. As expected, the activity of approximately 50% of neurons in V1 and approximately 80% of neurons in MT is affected by the stimulus. Furthermore, the activity of 20% of neurons in area V1 is modulated with the percept. This proportion is higher in MT, where the activity of >60% of neurons is modulated with the percept. In both areas, this perceptual modulation occurs only in neurons with activity that is also affected by the stimulus. The perceptual modulation is not correlated with neural tuning properties in area V1, but it is in area MT. Together, these results suggest that V1 is not directly involved in the generation of the SFM percept, whereas MT is. The perceptual modulation in V1 may be attributable to top-down feedback from MT.

Action Potentials↗