Biology subjects

Hockley, A.

Publications and source records attributed to Hockley, A..

4 recordsLinked to original sources

bioRxiv2026

Global context rapidly shapes sensory responses in V1

Context modulates sensory processing in the cerebral cortex by suppressing responses to expected stimuli and enhancing responses to unexpected ones. Recent proposals argue that early sensory areas such as primary visual cortex (V1) are shaped only by local context, including recent stimulus history, whereas modulation by global context, such as learned temporal structure, is present exclusively in higher cortical areas. This view is incompatible with predictive coding theories. To directly dissociate local and global contextual influences, we used a global/local oddball paradigm in which mice viewed five-item sequences. Across conditions, sequence structure was held constant while stimulus identity and predictability were selectively manipulated, allowing the isolation of response modulations due to local deviance, global expectation, and stimulus repetition independently. In the canonical sequence (AAAA-B), B is locally deviant but globally predictable. Using two-photon calcium imaging and LFP recordings in mouse V1, we found that global predictability abolished context modulation: responses to B were equivalent to those evoked by a random sequence control (e.g., CDEAB). This effect emerged rapidly, after only <10 sequence repetitions, demonstrating fast learning of global structure. When the stimulus was globally deviant, either by replacing B with a novel stimulus (AAAA-C) or by presenting B unpredictably in a standard oddball paradigm, V1 exhibited robust response enhancement. These effects required feedback from anterior cingulate area (ACa), establishing a causal role for higher cortical circuits in conveying global predictions to V1. Strikingly, when an additional A replaced B (AAAA-A), responses were strongly suppressed despite global deviance, indicating that stimulus-specific adaptation may constrain the expression of global prediction error signals in early sensory cortex. HighlightsGlobal context rapidly modulates neural responses in V1 Global deviations, but not predictable local deviants, elicit enhanced responses Downstream brain region ACa is necessary for global context modulation in V1 Standard oddball paradigms involve higher-order contextual modulation

neuroscience↗

bioRxiv2026

Cortical deviance detection represents a canonical difference signal

Context modulates neural processing of sensory stimuli. Neural responses are suppressed to stimuli that are typical in their context and augmented to stimuli that deviate from their context. The latter has been conceptualized as a "prediction error", which can serve to enhance the salience, direct attention, or support learning about behaviorally relevant events. Predictive coding theories posit that prediction errors act to signal the difference between internal predictions and actual sensory input, yet most paradigms simultaneously alter both predictions and input, so cannot test for a true difference signal. Increased neural responses to deviants could, instead, encode generalized surprise or augmented bottom-up signaling. Here we compare neural responses to auditory stimuli across oddball paradigm variants. We found that responses of putative excitatory neurons in primary auditory cortex (A1) to auditory deviants contain frequency change information and a memory trace of contextual information. Interestingly, in a fixed-deviant oddball paradigm where predictions are altered but deviant input remains constant, neural response patterns encoded standard-to-deviant frequency difference. These results support the interpretation that A1 deviance detection can be interpreted as a sensory prediction error that represents the difference between prediction and sensory input, a corollary of the predictive coding framework.

neuroscience↗

bioRxiv2024

Cortical state change by auditory deviants: a mismatch response generation mechanism in unconsciousness

Context-dependent sensory processing within the predictive coding framework relies on detecting mismatches between incoming stimuli and internal predictive models. Sensory deviants elicit prediction errors, seen as enhanced neural responses, that update these models and influence attention and behaviour. Although prediction errors have been widely observed across brain regions, the downstream processes remain poorly understood. In this study, we recorded electrocorticography in 5 urethane-anaesthetised rats and identified cortical slow oscillations, characterised by spontaneous transitions between "Up" and "Down" states. Deviant stimuli in an auditory oddball paradigm evoked an initial positive prediction error, followed by a prolonged, all-or-nothing response which spread in a travelling wave across the cortex. Identified as putative evoked cortical Up states, these responses were not evoked by standards, omissions or a many-standards control. Up states following deviants occurred more recently after a previous Up state when compared to spontaneous Up states. In preliminary data from an awake rat, long-latency Up states were not present spontaneously or evoked. In a different rat, anaesthetic depth was key to spontaneous and evoked Up states, with more robust Up/Down states and more reliable triggering of Up states under deeper anaesthesia. These results suggest that sensory deviants may cause shifts in cortical state under anaesthesia, explaining the long-latency MMR under anaesthesia and sleep. HighlightsO_LIWhat is the central question of this study? Whether long-latency deviant-evoked mismatch responses could be produced by deviant stimuli in the oddball paradigm evoking Up states. C_LIO_LIWhat is the main finding and its importance? In anaesthetised rat, responses to unexpected stimuli show two components, an early mismatch negativity followed by an Up state, that may be related to deviant activation of cortical ensembles by unexpected stimuli. C_LI

neuroscience↗

bioRxiv2021

Cochlear nucleus small cells use olivocochlear collaterals to encode sounds in noise

Understanding communication signals, especially in noisy environments, is crucial to social interactions. Yet, as we age, acoustic signals can be disrupted by cochlear damage and the subsequent auditory nerve fiber degeneration. The most vulnerable--medium and high-threshold--auditory nerve fibers innervate various cell types in the cochlear nucleus, among which, the small cells are unique in receiving this input exclusively. Furthermore, small cells project to medial olivocochlear (MOC) neurons, which in turn send branched collaterals back into the SCC. Here, we use single-unit recordings to characterise small cell firing characteristics and demonstrate superior intensity coding in this cell class. We show converse effects when activating/blocking the MOC system, demonstrating that small-cell unique coding properties are facilitated by direct cholinergic input from the MOC system. Small cells also maintain tone-level coding in the presence of background noise. Finally, small cells precisely code low-frequency modulation more accurately than other ventral CN (VCN) cell types, demonstrating accurate envelope coding that may be important for vocalisation processing. These results highlight the small cell-olivocochlear circuit as a key player in signal processing in noisy environments, which may be selectively degraded in aging or after noise insult.

neuroscience↗