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M Zacksenhouse

Publications and source records attributed to M Zacksenhouse.

7 recordsLinked to original sources
PubMed2001

Sensitivity of basic oscillatory mechanisms for pattern generation and detection.

Intrinsic oscillators are the basic building blocks of central pattern generators, which model the neural circuits underlying pattern generation. Coupled intrinsic oscillators have been shown to synchronize their oscillatory frequencies and to maintain a characteristic pattern of phase relationships. Recently, oscillatory neurons have also been identified in sensory systems that are involved in decoding phase information. It has been hypothesized that the neural oscillators are part of neural circuits that implement phase-locked loops (PLLs), which are well-known electrical circuits for temporal decoding. Thus, there is evidence that intrinsic neural oscillators participate in both temporal pattern generation and temporal pattern decoding. The present paper investigates the dynamics underlying forced oscillators and forced PLLs, using a single framework, and compares both their stability and sensitivity characteristics. In particular, a method for assessing whether an oscillatory neuron is forced directly or indirectly, as part of a PLL, is developed and applied to published data.

Models, Neurological↗
PubMed1998

Single-neuron modeling of LSO unit responses.

We investigated, using a computational model, the biophysical correlates of measured discharge patterns of lateral superior olive (LSO) neuron responses to monaural and binaural stimuli. The model's geometry was based on morphological data, and static electric properties of the model agree with available intracellular responses to hyperpolarizing current pulses. Inhibitory synapses were located on the soma and excitatory ones on the dendrites, which were modeled as passive cables. The active properties of the model were adjusted to agree with statistical measures derived from extracellular recordings. Calcium-dependent potassium channels supplemented the usual Hodgkin-Huxley characterization for the soma to produce observed serial interspike interval dependence characteristics. Intracellular calcium concentration is controlled by voltage- and calcium-dependent potassium channels and by calcium diffusion and homeostatic mechanisms. By adjusting the density of the calcium-dependent potassium channels, we could span the observed range of transient response patterns found in different LSO neurons. Inputs from the two ears were modeled as Poisson processes to describe the responses to tone-burst stimuli. Transient and sustained responses to monaural and binaural tone-burst stimuli over a wide range of stimulus conditions could be well described by varying only the model's inputs. As found in recordings, model responses having similar discharge rates but different binaural stimulus combinations exhibited differences in interval statistics.

Acoustic Stimulation↗
PubMed1997

Decoding temporally encoded sensory input by cortical oscillations and thalamic phase comparators.

The temporally encoded information obtained by vibrissal touch could be decoded "passively," involving only input-driven elements, or "actively," utilizing intrinsically driven oscillators. A previous study suggested that the trigeminal somatosensory system of rats does not obey the bottom-up order of activation predicted by passive decoding. Thus, we have tested whether this system obeys the predictions of active decoding. We have studied cortical single units in the somatosensory cortices of anesthetized rats and guinea pigs and found that about a quarter of them exhibit clear spontaneous oscillations, many of them around whisking frequencies ( approximately 10 Hz). The frequencies of these oscillations could be controlled locally by glutamate. These oscillations could be forced to track the frequency of induced rhythmic whisker movements at a stable, frequency-dependent, phase difference. During these stimulations, the response intensities of multiunits at the thalamic recipient layers of the cortex decreased, and their latencies increased, with increasing input frequency. These observations are consistent with thalamocortical loops implementing phase-locked loops, circuits that are most efficient in decoding temporally encoded information like that obtained by active vibrissal touch. According to this model, and consistent with our results, populations of thalamic "relay" neurons function as phase "comparators" that compare cortical timing expectations with the actual input timing and represent the difference by their population output rate.

Afferent Pathways↗
PubMed1995

Transient effects during the chopping response of LSO neurons.

The initial transient chopping response of LSO neuron discharges to both monaural and binaural tone-burst stimuli in the context of a previously developed point process model of the later sustained response is analyzed and modeled. The analysis reveals the nature of the initial transient response to stimulus onset: The model's stimulus-dependent parameters vary with poststimulus-onset time while the neuron's intrinsic recovery characteristics remain constant throughout the response. By applying maximum-likelihood estimation techniques to determine the time course of the stimulus-dependent parameters, it was found that the initial excitatory and inhibitory effects decay exponentially, with their ratio determining the instantaneous rate of firing and their relative latency determining the extent of the initial chopping pattern. The "absolute" and apparent deadtime also vary exponentially during the transient portion of the response. It is concluded that the recovery characteristics of LSO neurons and, the exponential nature of the transient effects give rise to a tightly distributed latency period and a regular chopping response pattern that could encode azimuthal information.

Acoustic Stimulation↗
PubMed1993

Excitation effects on LSO unit sustained responses: point process characterization.

LSO units recover from a spike discharge in a characteristic way, modeled by an intrinsic recovery function that is stimulus invariant up to a scaling factor and a shifting constant. Data analysis shows that the effect of increasing excitatory stimulus level can be described by amplifying the intrinsic recovery function and by shifting it toward shorter intervals. The shifting process secondarily interacts with the absolute deadtime to produce the response characteristics of the three LSO unit types. Decreased excitation is clearly distinguished from inhibition, which affects the scaling, but not the time origin, of the recovery. We conclude that both excitatory and inhibitory stimulus levels are encoded in the timing of LSO unit discharges.

Action Potentials↗
PubMed1992

Excitatory/inhibitory interaction in the LSO revealed by point process modeling.

We studied lateral superior olivary (LSO) unit responses to binaural tone-bursts using a general point process approach. We show that inhibition of the ipsilaterally elicited response by contralateral stimulation cannot be modeled simply as a reduction of the ipsilateral input. Statistical analyses reveal that inhibition operates by scaling the intensity of the point process describing the ipsilateral response. In some cases the scaling process has secondary effects: Binaurally elicited discharges produce bimodal interspike interval histograms from units that produce unimodal interval histograms under monaural stimulation. We present a specific point process model that describes the scaling process and successfully replicates the observed responses to monaural and binaural stimulation of the three types of LSO units: slow choppers, fast choppers, and bimodal units. We interpret scaling as a shunting inhibitory process in these LSO neurons. By relating scaling magnitude to interaural level difference, we demonstrate the spatial sensitivity of LSO units.

Acoustic Stimulation↗