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Michael Weliky

Publications and source records attributed to Michael Weliky.

7 recordsLinked to original sources

Simple fall-off pattern of correlated neural activity in the developing lateral geniculate nucleus.

Activity-dependent models for cortical simple-cell receptive field development predict specific patterns of correlated neural activity within the visual pathway, such as a Mexican hat-shaped pattern of correlated activity in the lateral geniculate nucleus (LGN). However, such activity patterns have yet to be experimentally demonstrated. We performed multielectrode recordings in the LGN of immature awake ferrets and found simple fall-off-shaped, rather than Mexican hat-shaped, patterns of correlated activity. A weak surround in the LGN neuron's receptive field and the statistics of the input contributed to this pattern of correlated activity. Computer simulation of cortical receptive field development incorporating the experimentally observed activity patterns demonstrated that a simple-cell receptive field emerges when a newly devised 'split' constraint on synaptic growth is combined with Hebbian synaptic modification rules. Thus, given certain developmental constraints on synaptic plasticity, patterns of correlated activity within the LGN are compatible with Hebbian models of simple-cell receptive field development.

Animals↗

Subplate neurons foster inhibition.

Previous work demonstrates an essential role of subplate neurons during ocular dominance (OD) column formation in the developing visual cortex. While inhibitory circuitry has also been shown to play an essential role in OD plasticity, the relationship between subplate neurons and the development of inhibitory circuits has been unclear. In this issue of Neuron, Kanold and Shatz provide evidence that maturation of inhibitory circuitry requires subplate neurons in the developing cortex.

Animals↗

Small modulation of ongoing cortical dynamics by sensory input during natural vision.

During vision, it is believed that neural activity in the primary visual cortex is predominantly driven by sensory input from the environment. However, visual cortical neurons respond to repeated presentations of the same stimulus with a high degree of variability. Although this variability has been considered to be noise owing to random spontaneous activity within the cortex, recent studies show that spontaneous activity has a highly coherent spatio-temporal structure. This raises the possibility that the pattern of this spontaneous activity may shape neural responses during natural viewing conditions to a larger extent than previously thought. Here, we examine the relationship between spontaneous activity and the response of primary visual cortical neurons to dynamic natural-scene and random-noise film images in awake, freely viewing ferrets from the time of eye opening to maturity. The correspondence between evoked neural activity and the structure of the input signal was weak in young animals, but systematically improved with age. This improvement was linked to a shift in the dynamics of spontaneous activity. At all ages including the mature animal, correlations in spontaneous neural firing were only slightly modified by visual stimulation, irrespective of the sensory input. These results suggest that in both the developing and mature visual cortex, sensory evoked neural activity represents the modulation and triggering of ongoing circuit dynamics by input signals, rather than directly reflecting the structure of the input signal itself.

Action Potentials↗

Multi-electrode recording from the developing visual pathway of awake behaving ferrets.

We have developed an effective technique for obtaining multi-electrode extracellular recordings from developing lateral geniculate nucleus (LGN) and visual cortex in awake behaving ferrets. Using this approach, we have been studying changes in the spatio-temporal patterns of spontaneous activity within the visual pathway during pre eye-opening development. In this paper, we describe the fabrication and implantation of 8- and 16-channel drivable multi-electrode arrays, which enable us to obtain high-quality multi-unit recordings from nearly 100% of our recording sites.

Animals↗

Coding of natural scenes in primary visual cortex.

Natural scene coding in ferret visual cortex was investigated using a new technique for multi-site recording of neuronal activity from the cortical surface. Surface recordings accurately reflected radially aligned layer 2/3 activity. At individual sites, evoked activity to natural scenes was weakly correlated with the local image contrast structure falling within the cells' classical receptive field. However, a population code, derived from activity integrated across cortical sites having retinotopically overlapping receptive fields, correlated strongly with the local image contrast structure. Cell responses demonstrated high lifetime sparseness, population sparseness, and high dispersal values, implying efficient neural coding in terms of information processing. These results indicate that while cells at an individual cortical site do not provide a reliable estimate of the local contrast structure in natural scenes, cell activity integrated across distributed cortical sites is closely related to this structure in the form of a sparse and dispersed code.

Action Potentials↗

Relationship of correlated spontaneous activity to functional ocular dominance columns in the developing visual cortex.

Utilizing a multielectrode array to record spontaneous and visually evoked activity of cortical neurons in area 17, we investigate the relationship between long-range correlated spontaneous activity and functional ocular dominance columns during early ferret postnatal development (P24-P29). In regions of visual cortex containing alternating ocular dominance patches, periodic fluctuations in correlated activity are observed in which spontaneous activity is most highly correlated between cortical patches exhibiting the same eye preference. However, these fluctuations are present even within large contralateral eye-dominated bands which lack any periodic alternations in ocular dominance. Thus, the organization of ocular dominance columns cannot fully account for the patterns of correlated activity we observe. Our results suggest that patterns of long-range correlated activity reflect an intrinsic periodicity of cortical connectivity that is constrained by segregated eye-specific LGN afferents.

Action Potentials↗