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A B Saul

Publications and source records attributed to A B Saul.

12 recordsLinked to original sources

Strobe rearing reduces direction selectivity in area 17 by altering spatiotemporal receptive-field structure.

Strobe rearing reduces direction selectivity in area 17 by altering spatiotemporal receptive-field structure. J. Neurophysiol. 80: 2991-3004, 1998. Direction selectivity in simple cells of cat area 17 is linked to spatiotemporal (S-T) receptive-field structure. S-T inseparable receptive fields display gradients of response timing across the receptive field that confer a preferred direction of motion. Receptive fields that are not direction selective lack gradients; they are S-T separable, displaying uniform timing across the field. Here we further examine this link using a developmental paradigm that disrupts direction selectivity. Cats were reared from birth to 8 mo of age in 8-Hz stroboscopic illumination. Direction selectivity in simple cells was then measured using gratings drifting at different temporal frequencies (0.25-16 Hz). S-T structure was assessed using stationary bars presented at different receptive-field positions, with bar luminance being modulated sinusoidally at different temporal frequencies. For each cell, plots of response phase versus bar position were fit by lines to characterize S-T inseparability at each temporal frequency. Strobe rearing produced a profound loss of direction selectivity at all temporal frequencies; only 10% of cells were selective compared with 80% in normal cats. The few remaining directional cells were selective over a narrower than normal range of temporal frequencies and exhibited weaker than normal direction selectivity. Importantly, the directional loss was accompanied by a virtual elimination of S-T inseparability. Nearly all cells were S-T separable, like nondirectional cells in normal cats. The loss was clearest in layer 4. Normally, inseparability is greatest there, and it correlates well (r = 0.77) with direction selectivity; strobe rearing reduced inseparability and direction selectivity to very low values. The few remaining directional cells were inseparable. In layer 6 of normal cats, most direction-selective cells are only weakly inseparable, and there is no consistent relationship between the two measures. However, after strobe rearing, even the weak inseparability was eliminated along with direction selectivity. The correlated changes in S-T structure and direction selectivity were confirmed using conventional linear predictions of directional tuning based on responses to counterphasing bars and white noise stimuli. The developmental changes were permanent, being observed up to 12 yr after strobe rearing. The deficits were remarkably specific; strobe rearing did not affect spatial receptive-field structure, orientation selectivity, spatial or temporal frequency tuning, or general responsiveness to visual stimuli. These results provide further support for a critical role of S-T structure in determining direction selectivity in simple cells. Strobe rearing eliminates directional tuning by altering the timing of responses within the receptive field.

Animals↗

Strobe rearing prevents the convergence of inputs with different response timings onto area 17 simple cells.

Strobe rearing prevents the convergence of inputs with different response timings onto area 17 simple cells. J. Neurophysiol. 80: 3005-3020, 1998. The preceding paper showed that the loss of direction selectivity in simple cells induced by strobe rearing reflects the elimination of spatially ordered response timing differences across the receptive field that underlie spatiotemporal (S-T) inseparability. Here we addressed whether these changes reflected an elimination of certain timings or an alteration in how timings were associated in single cells. Timing in receptive fields was measured using stationary bars undergoing sinusoidal luminance modulation at different temporal frequencies (0.5-6 Hz). For each bar position, response phase versus temporal frequency data were fit by a line to obtain two measures: absolute phase and latency. In normal cats, many individual simple cells display a wide range of timings; in layer 4, the mean range for absolute phase and latency was 0.21 cycles and 39 ms, respectively. Strobe rearing compressed the mean timing ranges in single cells, to 0.08 cycles and 31 ms, respectively, and this compression accounted for the loss of inseparability. A similar compression was measured in layer 6 cells. In contrast, the range of timing values across the simple-cell population was relatively normal. Single cells merely sampled narrower than normal regions of the timing space. We sought to understand these cortical changes in terms of how inputs from the lateral geniculate nucleus (LGN) may have been affected by strobe rearing. In normal cats, a wide range of absolute phase and latency values exists among lagged and nonlagged LGN cells, and these thalamic timings account for most of the cortical timings. Also, S-T inseparability in many simple cells can be attributed to the convergence of lagged and/or nonlagged inputs. Strobe rearing did not change the sampling of lagged and nonlagged cells, and the geniculate timings continued to account for most of the cortical timings. However, strobe rearing virtually eliminated cortical receptive fields with mixed lagged and nonlagged timing, and it compressed the timing range in cells dominated by one or the other geniculate type. Thus strobe rearing did not eliminate certain timings in LGN or cortex, but prevented the convergence of different timings on single cells. To account for these results, we propose a developmental model in which strobe stimulation alters the correlational structure of inputs based on their response timing. Only inputs with similar timing become associated on single cortical cells, and this produces S-T separable receptive fields that lack the ability to confer a preferred direction of motion.

Animals↗

Temporal-frequency tuning of direction selectivity in cat visual cortex.

Responses of 71 cells in areas 17 and 18 of the cat visual cortex were recorded extracellularly while stimulating with gratings drifting in each direction across the receptive field at a series of temporal frequencies. Direction selectivity was most prominent at temporal frequencies of 1-2 Hz. In about 20% of the total population, the response in the nonpreferred direction increased at temporal frequencies of around 4 Hz and direction selectivity was diminished or lost. In a few cells the preferred direction reversed. One consequence of this behavior was a tendency for the preferred direction to have lower optimal temporal frequencies than the nonpreferred direction. Across the population, the preferred direction was tuned almost an octave lower. In spite of this, temporal resolution was similar in the two directions. It appeared that responses in the nonpreferred direction were suppressed at low frequencies, then recovered at higher frequencies. This phenomenon might reflect the convergence in visual cortex of lagged and nonlagged inputs from the lateral geniculate nucleus. These afferents fire about a quarter-cycle apart (i.e. are in temporal quadrature) at low temporal frequencies, but their phase difference increases to a half-cycle by about 4 Hz. Such timing differences could underlie the prevalence of direction-selective cortical responses at 1 and 2 Hz and the loss of direction selectivity in many cells by 4 or 8 Hz.

Animals↗

Action of brain stem reticular afferents on lagged and nonlagged cells in the cat lateral geniculate nucleus.

1. The A-laminae of the cat lateral geniculate nucleus (LGN) contain two distinct groups of relay neurons: lagged and nonlagged cells. The groups differ in the pattern, timing, and amplitude of response to flashing spots. At spot onset, nonlagged cells discharge at short latency with an excitatory transient; in lagged cells this transient is supplanted by an inhibitory dip and a delayed latency to discharge. At spot offset, lagged cell discharge decays more slowly than in nonlagged cells. Here we have investigated the facilitatory influence of the brain stem reticular formation on the response properties of lagged X-cells (XL) and nonlagged X- and Y-cells (XN and YN). We were particularly interested in whether the inhibitory dip and sluggish response of lagged cells could be reversed during brain stem activation and the cells induced to respond like nonlagged cells. The peribrachial region (PB) of the pontine reticular formation was stimulated electrically with the use of 1,100-ms-long pulse trains that were paired with flashing spot stimuli. 2. Stimulation of PB led to an increase in the amplitude of visually evoked discharge in lagged and nonlagged cells. Compared with their response to spot stimulation alone, the average PB-evoked increase in mean discharge rate was greater than 50% in both groups. The mean discharge rate during PB plus spot stimulation was somewhat higher for XN-cells than for YN- and XL-cells, reflecting the relatively higher discharge rate among XN-cells during spot stimulation alone. 3. Two measures of response timing characterize lagged and nonlagged cells: latency to half-maximal discharge at spot onset (half rise) and latency to half-minimal discharge at spot offset (half fall). Among XN- and YN-cells, PB stimulation had no significant effect on these two latencies; among XL-cells, both latencies were reduced by 43 and 35%, respectively, on average. 4. During spot stimulation alone, all lagged cells were distinguishable from all nonlagged cells in having half-rise and half-fall latencies greater than 60 ms. Despite the reduction among XL-cells in these 2 latencies during PB stimulation, all but 2 of the 40 XL-cells maintained laggedlike latencies. The majority (95%) of XL-cells remained unambiguously lagged on these measures during brain stem stimulation. 5. During spot stimulation alone, 30 of 40 XL-cells tested displayed a prominent and often long-lasting inhibitory dip in discharge starting approximately 45 ms after spot onset. During PB stimulation only three cells lost the dip.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗

Evidence of input from lagged cells in the lateral geniculate nucleus to simple cells in cortical area 17 of the cat.

1. The visual cortex receives several types of afferents from the lateral geniculate nucleus (LGN) of the thalamus. In the cat, previous work studied the ON/OFF and X/Y distinctions, investigating their convergence and segregation in cortex. Here we pursue the lagged/nonlagged dichotomy as it applies to simple cells in area 17. Lagged and nonlagged cells in the A-layers of the LGN can be distinguished by the timing of their responses to sinusoidally luminance-modulated stimuli. We therefore used similar stimuli in cortex to search for signs of lagged and nonlagged inputs to cortical cells. 2. Line-weighting functions were obtained from 37 simple cells. A bar was presented at a series of positions across the receptive field, with the luminance of the bar modulated sinusoidally at a series of temporal frequencies. First harmonic response amplitude and phase values for each position were plotted as a function of temporal frequency. Linear regression on the phase versus temporal frequency data provided estimates of latency (slope) and absolute phase (intercept) for each receptive-field position tested. These two parameters were previously shown to distinguish between lagged and nonlagged LGN cells. Lagged cells generally have latencies > 100 ms and absolute phase lags; nonlagged cells have latencies < 100 ms and absolute phase leads. With the use of these criteria, we classified responses at discrete positions inside cortical receptive fields as lagged-like and nonlagged-like. 3. Both lagged-like and nonlagged-like responses were observed. The majority of cortical cells had only or nearly only nonlagged-like zones. In 15 of the 37 cells, however, the receptive field consisted of > or = 20% lagged-like zones. For eight of these cells, lagged-like responses predominated. 4. The distribution of latency and absolute phase across the sample of cortical simple cell receptive fields resembled the distribution for LGN cells. The resemblance was especially striking when only cells in or adjacent to geniculate recipient layers were considered. Absolute phase lags were almost uniformly associated with long latencies. Absolute phase leads were generally associated with short latencies, although cortical cells responded with long latencies and absolute phase leads slightly more often than LGN cells. 5. Cells in which a high percentage of lagged-like responses were observed had a restricted laminar localization, with all but two being found in layer 4B or 5A. Cells with predominantly nonlagged-like responses were found in all layers. 6. Lagged-like zones can not be easily explained as a result of stimulating combinations of nonlagged inputs.(ABSTRACT TRUNCATED AT 400 WORDS)

Afferent Pathways↗

Lagged Y cells in the cat lateral geniculate nucleus.

We report on the existence of lagged Y (YL) cells in the A laminae of the cat lateral geniculate nucleus (LGN) and on criteria for identifying them using visual and electrical stimulation. Like the lagged X (XL) cells described previously (Mastronarde, 1987a; Humphrey & Weller, 1988a), YL cells responded to a spot stimulus with an initial dip in firing and a delayed latency to discharge after spot onset, and an anomalously prolonged firing after spot offset. However, the cells received excitatory input from retinal Y rather than X afferents, and showed nonlinear spatial summation and other Y-like receptive-field properties. Three YL cells tested for antidromic activation from visual cortex were found to be relay cells, with long conduction latencies similar to those of XL cells. Simultaneous recordings of a YL cell and its retinal Y afferents show striking parallels between lagged X and Y cells in retinogeniculate functional connectivity, and suggest that the YL-cell response profile reflects inhibitory processes occurring within the LGN. The YL cells comprised approximately 5% of Y cells and approximately 1% of all cells in the A laminae. Although infrequently encountered in the LGN, they may be roughly as numerous as Y cells in the retina, and hence could fulfill an important role in vision.

Animals↗

Spatial and temporal response properties of lagged and nonlagged cells in cat lateral geniculate nucleus.

1. It has recently been shown that the X- and Y-cell classes in the A-layers of the cat lateral geniculate nucleus (LGN) are divisible into lagged and nonlagged types. We have characterized the visual response properties of 153 cells in the A-layers to 1) reveal response features that are relevant to the X/Y and lagged/nonlagged classification schemes, and 2) provide a systematic description of the properties of lagged and nonlagged cells as a basis for understanding mechanisms that affect these two groups. Responses to flashing spots and drifting gratings were measured as the contrast and spatial and temporal modulation were varied. 2. X- and Y-cells were readily distinguished by their spatial tuning. Y-cells had much lower preferred spatial frequencies and spatial resolution than X-cells. Within each functional class (X or Y), however, lagged and nonlagged cells were similar in their spatial response properties. Thus the lagged/nonlagged distinction is not one related to the spatial domain. 3. In the temporal domain X- and Y-cells showed little difference in temporal tuning, whereas lagged and nonlagged cells showed distinctive response properties. The temporal tuning functions of lagged cells were slightly shifted toward lower frequencies with optimal temporal frequencies of lagged X-cells averaging an octave lower than those of nonlagged X-cells. Temporal resolution was much lower in lagged X- and Y-cells than in their nonlagged counterparts. 4. The most dramatic differences between lagged and nonlagged cells appeared in the timing of their responses, as measured by the phase of the response relative to the sinusoidal luminance modulation of a spot centered in the receptive field. Response phase varied approximately linearly with temporal frequency. The slope of the phase versus frequency line is a measure of total integration time, which we refer to as visual latency. Lagged cells has much longer latencies than nonlagged cells. 5. The intercept of the phase versus frequency line is a measure of when in the stimulus cycle the cell responds: we refer to this as the intrinsic or absolute phase of the cell. This measure of response timing not only distinguished lagged and nonlagged cells well but also covaried with the sustained or transient nature of cells' responses to flashed stimuli.(ABSTRACT TRUNCATED AT 400 WORDS)

Action Potentials↗

Adaptation in single units in visual cortex: the tuning of aftereffects in the spatial domain.

Cat striate cortical neurons were investigated using a new method of studying adaptation aftereffects. Stimuli were sinusoidal gratings of variable contrast, spatial frequency, and drift direction and rate. A series of alternating adapting and test trials was presented while recording from single units. Control trials were completely integrated with the adapted trials in these experiments. Every cortical cell tested showed selective adaptation aftereffects. Adapting at suprathreshold contrasts invariably reduced contrast sensitivity. Significant aftereffects could be observed even when adapting at low contrasts. The spatial-frequency tuning of aftereffects varied from cell to cell. Adapting at a given spatial frequency generally resulted in a broad response reduction at test frequencies above and below the adapting frequency. Many cells lost responses predominantly at frequencies lower than the adapting frequency. The tuning of aftereffects varied with the adapting frequency. In particular, the strongest aftereffects occurred near the adapting frequency. Adapting at frequencies just above the optimum for a cell often altered the spatial-frequency tuning by shifting the peak toward lower frequencies. The fact that the tuning of aftereffects did not simply match the tuning of the cell, but depended on the adapting stimulus, implies that extrinsic mechanisms are involved in adaptation effects.

Adaptation, Physiological↗

Adaptation in single units in visual cortex: the tuning of aftereffects in the temporal domain.

Adaptation-induced changes in the temporal-frequency tuning and direction selectivity of cat visual cortical cells were studied. Aftereffects were induced largely independent of direction. Adapting in either direction reduced responses in both directions. Aftereffects in the direction opposite that adapted were only slightly weaker than were aftereffects in the adapted direction. No cell showed any enhancement of responses to drifting test stimuli after adapting with moving gratings. Adapting in a cell's null direction usually had no effect. Dramatic differences between the adaptation characteristics of moving and stationary stimuli were observed, however. Furthermore, aftereffects were temporal frequency specific. Temporal frequency-specific aftereffects were found in both directions: adapting in one direction induced frequency-specific effects in both directions. This bidirectionality of frequency-specific aftereffects applied to the spatial domain as well. Often, aftereffects in the direction opposite that adapted were more narrowly tuned. In general, adaptation could shift a cell's preferred temporal frequency. Aftereffects were most prominent at high temporal frequencies when testing in the adapted direction. Aftereffects seemed to be more closely linked to temporal frequency than to velocity matching. These results constrain models of cortical connectivity. In particular, we argue against schemes by which direction selectivity is generated by inhibiting a cell specifically when stimulated in the nonpreferred direction. Instead, we argue that cells receive bidirectional spatially and temporally tuned inputs, which could combine in spatiotemporal quadrature to produce direction selectivity.

Adaptation, Physiological↗

Adaptation aftereffects in single neurons of cat visual cortex: response timing is retarded by adapting.

Extracellular single-unit recordings were made from simple cells in area 17 of anesthetized cats. Cells were tested with drifting gratings under control and adapted conditions. Response amplitude and phase were measured as a function of either contrast or temporal frequency. Adapting not only reduces amplitude, but also retards phase. Adaptation alters the responses of simple cells in a particular way: the onset of the response to each cycle of a sinusoidally modulate stimulus is delayed. Once cells start to respond during each cycle, however, they generally recover to control levels, and the offset of the response is unaffected by adapting. The timing aftereffects are independent of the amplitude aftereffects. Timing aftereffects are tuned around the adapting temporal frequency, with a bias toward lower temporal frequencies. Adaptation thus modifies cortical responses even more specifically then previously thought. Firing rates are depressed primarily at response onset, even after several stimulus cycles have occurred following the end of adapting. Because all cells appear to adapt in this way, the data offer an opportunity to theorize about cortical connectivity. One implication is that inhibition onto a simple cell arises from other simple cells with similar response properties that fire a half-cycle out of phase with the target cell.

Adaptation, Ocular↗

Laminar differences in the spatiotemporal structure of simple cell receptive fields in cat area 17.

Previous studies of cat visual cortex have shown that the spatiotemporal (S-T) structure of simple cell receptive fields correlates with direction selectivity. However, great heterogeneity exists in the relationship and this has implications for models. Here we report a laminar basis for some of the heterogeneity. S-T structure and direction selectivity were measured in 101 cells using stationary counterphasing and drifting gratings, respectively. Two procedures were used to assess S-T structure and its relation to direction selectivity. In the first, the S-T orientations of receptive fields were quantified by fitting response temporal phase versus stimulus spatial phase data. In the second procedure, conventional linear predictions of direction selectivity were computed from the amplitudes and phases of responses to stationary gratings. Extracellular recording locations were reconstructed histologically. Among direction-selective cells, S-T orientation was greatest in layer 4B and it correlated well (r = 0.76) with direction selectivity. In layer 6, S-T orientation was uniformly low, overlapping little with layer 4B, and it was not correlated with directional tuning. Layer 4A was intermediate in S-T orientation and its relation (r = 0.46) to direction selectivity. The same laminar patterns were observed using conventional linear predictions. The patterns do not reflect laminar differences in direction selectivity since the layers were equivalent in directional tuning. We also evaluated a model of linear spatiotemporal summation followed by a static nonlinear amplification (exponent model) to account for direction selectivity. The values of the exponents were estimated from differences between linearly predicted and actual amplitude modulations to counterphasing gratings. Comparing these exponents with another exponent--that required to obtain perfect matches between linearly predicted and measured directional tuning--indicates that an exponent model largely accounts for direction selectivity in most cells in layer 4, particularly layer 4B, but not in layer 6. Dynamic nonlinearities seem essential for cells in layer 6. We suggest that these laminar differences may partly reflect the differential involvement of geniculocortical and intracortical mechanisms.

Animals↗

Visual cortical simple cells: who inhibits whom.

Simple cells display a specific adaptation aftereffect when tested with drifting gratings. The onset of the response to each cycle of the grating is delayed after adapting, but the offset is unaffected. Testing with stationary bars whose luminance was modulated in time revealed that aftereffects occur only at certain points in both space and time. The aftereffects seen with moving stimuli were predicted from those seen with stationary stimuli. These adaptation experiments suggest a model that consists of mutually inhibitory simple cells that are in spatiotemporal quadrature. The inhibition is appropriately localized in space and time to create the observed aftereffects. In this model, inhibition onto direction-selective simple cells arises from simple cells with the same preferred direction.

Adaptation, Physiological↗