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Practice contributes substantially to compensatory performance after sensory loss, but evidence for selective crossmodal recruitment and causal changes in neural contribution goes beyond an account based solely on accumulated task repetitions. Practice and plasticity are not mutually exclusive: practice can induce neural change, while deprivation can change which circuits practice recruits.

The first requirement is to specify the claimed enhancement. Better tactile discrimination, peripheral visual localization and visual motion detection are different outcomes. Accuracy can improve because of sensory precision, attention, memory, a decision criterion or a slower response. There is no inference from success on one selected task to a universal sharpening of the remaining senses. Sensory loss also differs in onset, completeness, cause and duration. Early blindness, late blindness and temporary blindfolding cannot be treated as equivalent experiments.

A practice account predicts learning with repeated use, specificity to trained inputs and possible transfer to related tasks. A deprivation account predicts changes associated with absent input even when practice is matched. Both can operate, and a statistical difference between groups cannot by itself separate them: daily experience, motivation and selection into a study can differ along with sensory status. Years of Braille use, for example, are not randomly assigned. Comparing blind and sighted experts is more informative than comparing one expert group with novices, but expertise matching does not remove every difference in lifetime experience.

A controlled human study by Lotfi B. Merabet and colleagues used five days of complete blindfolding in normally sighted adults during intensive tactile training, with non-blindfolded training controls. Tactile stimulation increasingly recruited occipital cortex in the deprived group. Disrupting occipital function with repetitive transcranial magnetic stimulation impaired Braille-character discrimination in the blindfolded group on day five, but not in controls; the differential disruption was absent 24 hours after blindfold removal. The imaging response also reversed rapidly.^[ref] The imaging and stimulation arms used different participants, so one should not claim a within-person correlation between their measures.

This combination is more informative than cortical activation alone. Both groups received training, yet the deprived group temporarily depended on a different cortical contribution. Rapid reversibility is compatible with altered weighting or unmasking of existing connections; it does not require wholesale growth of new long-range pathways in five days. The result establishes a functional contribution under the tested state, not that occipital recruitment is sufficient for every tactile gain. Stimulation can affect a network, and the study cannot directly equate sudden reversible deprivation with lifelong blindness. Nor is the persistence of learned skill after the imaging effect disappears paradoxical: skill can remain while the supporting network changes.

A complementary causal result comes from Stephen G. Lomber and colleagues' experiments in congenitally deaf cats. Compared with hearing cats, these animals showed enhanced peripheral visual localization and motion detection on particular tasks. Reversible cooling of posterior auditory cortex removed the localization advantage, whereas cooling a dorsal auditory region removed the motion advantage.^[ref] Cooling provides an experimental contrast between a functioning and temporarily deactivated circuit. The task-specific double dissociation argues for functionally differentiated recruitment, rather than one undifferentiated increase in effort. The evidence is from cats and does not quantify the contribution of practice versus deprivation in humans.

A double dissociation is powerful but not magical. To interpret it, one must check that deactivation does not merely impair movement, alertness or basic visibility, and that tasks are not placed at incomparable difficulty levels. The existence of a recruited circuit identifies part of the implementation, not the entire developmental cause. Extensive experience could help establish that circuit's new role. Thus the strict opposition “neural reorganization or practice” confuses a mechanism with one possible source of the mechanism.

A discriminating program would measure performance before training, randomly assign normally sighted participants to matched training with or without temporary deprivation where appropriate, and follow learning and recovery. For established sensory loss, longitudinal observations and carefully matched comparison groups can constrain onset and experience effects without pretending that sensory loss can be freely randomized. Untrained tasks, different body sites or stimulus dimensions, delayed tests and speed–accuracy measurements distinguish broad transfer from repeated response memorization. Peripheral sensitivity should be checked before attributing every difference to cortex. These are design recommendations, not invented completed studies.

Measurement also needs a mechanistic bridge. Fitting psychometric functions can separate threshold and lapse changes; signal detection theory can distinguish sensitivity from a shifted decision criterion under explicit assumptions. Imaging identifies candidate recruitment, while causal disruption tests contribution. Neither activation magnitude nor a lower threshold alone establishes a “better” brain, and an adaptation useful for one task may create costs elsewhere. Residual input, age of onset and the sensory dimension previously calibrated by the missing modality can all constrain outcomes. Enhancement and impairment can coexist in the same person.

The evidence therefore supports an interaction among altered input, experience and circuit availability. Some compensation is task practice, some reflects state-dependent or developmental changes in neural recruitment, and the strongest explanation specifies how those factors cooperate rather than assigning every gain to only one.

Spatial and chemical multisensory processing share problems of binding, uncertainty, learning and common-cause attribution. They often differ in what their inputs represent: spatial cues can estimate the same location, whereas taste and odor frequently supply complementary attributes of a food. The comparison concerns particular computations and tasks, not a rigid separation between two kinds of brain.

In spatial localization, vision, audition and touch can each provide information about position, although they begin in different coordinates. Visual information is initially related to the retina, auditory location depends on binaural and spectral cues, and touch is related to a body surface. Combining them requires accounting for eye, head and body position. Spatial coincidence supports a common event, but is not sufficient: unrelated events can occur nearby, and one moving object can produce cues at different times.

A simple reliability-weighted cue integration model makes a precise prediction. Suppose $x_1,x_2$ are unbiased, independent estimates of one position, with variances ${\sigma }_1^2,{\sigma }_2^2$. An unbiased linear estimate is $\hat{x}=w{x}_1+(1-w)x_2$, withDifferentiating and setting the derivative to zero yieldsThe second derivative is positive. The minimum-variance two-cue estimate assigns greater weight to the more precise cue, and independent information reduces variance below either individual variance. With independent Gaussian noise and a flat prior, minimizing the negative log-likelihood gives the same weighted mean. Correlated errors, bias, a nonflat prior or separate causes change this benchmark.

Marc O. Ernst and Martin S. Banks measured visual and haptic estimates of object height and compared combined judgments with predictions based on unisensory variability. Manipulating visual uncertainty and cue conflict supported reliability-dependent weighting and improved combined precision in that task.^[ref] The conclusion is conditional optimality for measured inputs and task, not that every multisensory judgment or neuron always computes an optimum.

Development supplies a useful qualification. Monica Gori and colleagues measured visual, haptic and combined judgments of block size and orientation in children. Younger children did not always obtain the adult-like precision gain; the dominant modality differed between size and orientation, and adult-like combination emerged around eight to ten years in those tests.^[ref] The authors proposed a role for cross-sensory calibration. The result does not establish one universal maturation age for all multisensory tasks. It shows why adult cue-combination rules should not simply be assigned to every developing observer.

The chemical senses pose a different representational problem. Gustation responds to dissolved chemicals at taste receptors, while olfaction responds to volatile molecules; oral touch, temperature and irritation also contribute to a food percept. Retronasal odor can be attributed to the mouth through olfactory referral, even though its receptors remain in the nose. A sweet taste and a fruit odor are not necessarily two noisy measurements of one physical sweetness coordinate. They can jointly identify a food or predict nutritional and hedonic properties. Adding them with inverse-variance weights is therefore not automatically meaningful.

Nevertheless, the same inferential questions arise: do signals belong to the same food, how should prior experience affect interpretation, and which component is responsible for a judged quality? Richard J. Stevenson and colleagues' odor–taste conditioning results show that pairing an odor with sweet or sour tastes can alter later odor judgments.^[ref] Learned co-occurrence can thus influence flavor qualities. Verbal confusion or a rating change alone does not establish full sensory fusion; separate taste, odor and pleasantness scales help test response dumping.

Neural convergence is also shared without implying identical architectures. Ivan E. T. de Araujo and colleagues delivered tastes and retronasal odors separately and together during human functional magnetic resonance imaging. They identified overlapping responses in several regions and interactions in orbitofrontal cortex; some responses also covaried with consonance or pleasantness ratings.^[ref] A mixture interaction is stronger evidence than overlap alone, but an imaging voxel does not prove that every responding neuron receives both inputs. A neural correlation with pleasantness also differs from a causal explanation of food preference.

Temporal and spatial structure further distinguish typical tasks. Spatial audiovisual cues can be brief, externally localized events; food perception unfolds with sniffing, chewing, dissolution and swallowing. Taste and retronasal odor may be bound despite unlike onset profiles because their sequence is expected within eating. Chemical signals can adapt and interact at peripheral as well as central stages, while vision and audition face their own receptor and pathway nonlinearities. Neither class is exclusively early or late, automatic or attention-dependent. Attention, task instructions, hunger and learned expectations can change what is selected or reported; these influences must be measured rather than inferred from a unitary percept alone.

A decisive comparison therefore uses matched inferential questions: estimate a common property, identify a common object, or judge whether two signals share a cause. Measure unisensory performance, test cue conflict and temporal or semantic congruence, and distinguish changes in quality, uncertainty and response. Both domains integrate evidence about events; spatial averaging is a useful special case, while complementary chemical information often requires object, quality and value representations beyond a shared coordinate.

High-resolution imaging of preserved historical brains reveals lesion extent beyond the conventional superficial area. Short title used for the paper whose subtitle names its two historical cases.

The peripheral nervous system comprises neural structures outside the brain and spinal cord, including many nerves and ganglia. It carries sensory input and motor or autonomic output. Peripheral location does not imply that every fiber has the same signaling direction.

Coauthor of research on brain responses to skin warming and cooling. The study connected controlled thermal stimulation with regional signals measured by positron emission tomography in awake humans.^[ref]

The pineal gland is a small neuroendocrine organ of the epithalamus, attached to the roof of the third ventricle. It secretes melatonin, linking a neural timing system to a chemical signal distributed beyond the brain. Its anatomical position is distinct from that of the nearby habenula.^[ref]

A classic experiment located a strong daily rhythm at an enzymatic step in pineal metabolism. In 1970, D. C. Klein and J. L. Weller reported that rat pineal serotonin N-acetyltransferase activity was more than 15 times higher at night than during the day. The rhythm persisted in complete darkness and in blinded animals, whereas constant illumination suppressed it. Their experiments in isolated tissue also implicated norepinephrine in regulation of the enzyme activity.^[ref]

The darkness control is particularly illuminating. A mechanism that merely switched on whenever light was absent would predict a continuously high output in constant darkness. Continued rhythmic variation instead supports an internally generated timing signal. It does not show that the pineal gland alone generates the organism's entire circadian rhythm: the measurement concerns one gland and one metabolic activity in an intact timing system. Likewise, the reported activity ratio is an enzyme-assay result, not a universal ratio of human blood melatonin concentrations.

The pituitary gland is an endocrine gland at the base of the brain, connected to the hypothalamus. Its anterior pituitary contains hormone-secreting glandular cells; its posterior pituitary contains the terminals of hypothalamic neurons. The two regions consequently communicate with the hypothalamus in different ways.^[ref]

For example, the anterior pituitary secretes prolactin, which promotes milk production, while the posterior pituitary releases oxytocin, which promotes milk ejection. One organ thus participates in distinct, coordinated stages of a physiological response.^[ref]

A construct involving characteristic affective, interpersonal and behavioural features. Findings in a selected offender sample should not be generalized to everyone with antisocial behaviour or used to infer an individual’s moral character from a brain signal.

Regina Faubel investigated how cilia organize cerebrospinal fluid transport in the brain. A 2016 study of the mouse third ventricle found coordinated cilia modules generating a complex network of local flows.^[ref]

The observed flow pattern included a periodically switching component, and related complex patterns occurred in rat and pig third ventricles. These results motivated a transport question beyond total flow through a cavity: which paths carry signaling molecules to particular parts of its lining? A compartment can exchange fluid overall while still having an organized internal distribution.^[ref]

The retina is the layered neural and supporting tissue at the inner posterior eye. Photoreceptors convert light into signals processed by retinal circuits, and retinal ganglion cells supply output through the optic nerve. Spatial sampling and processing begin before signals reach the brain.

Coauthor of research on brain responses to skin warming and cooling. The study connected controlled thermal stimulation with regional signals measured by positron emission tomography in awake humans.^[ref]

Researcher in quantitative genetics. Lande developed a multivariate treatment of evolution, connecting correlated inherited variation with joint changes in traits such as brain and body size.^[ref]

Sandrine De Seranno investigated signalling between vascular endothelial cells and glial cells in the neuroendocrine brain. A 2004 study combined purified rat median eminence endothelial cells with cultured tanycytes, identifying nitric oxide-dependent changes in the actin cytoskeleton.^[ref]

Electron microscopy complemented the culture manipulation: stimulating endogenous nitric oxide release changed how glial endings and GnRH-containing axons approached the vascular surface. The work connected a diffusible signal with altered cellular geometry at a neurovascular interface.^[ref]

An increase in the apparent quality of an explanation associated with neuroscience information that does not improve its logic. The original text-based experiment distinguishes this effect from a general claim that every brain image or biological explanation is misleading.^[ref]

A monoamine transmitter also called 5-hydroxytryptamine. Distinct receptors and circuits can have different effects; blood levels are not a direct reading of synaptic transmission in the brain.

Authors include Bushra Raj.

Nature biotechnology 36, pp. 442–450. Figures 1 and 3–6: inducible recording, lineage trees and cell-type readout in zebrafish brain.

Twelve resting volunteers wore a water-perfused suit. Tubes covered the torso, upper arms and legs; the right forearm remained uncovered for laser Doppler blood-flow measurement. Six thermocouples estimated mean skin temperature; a sublingual thermocouple measured oral temperature. A dry-air capsule measured local sweat output from outgoing air moisture. ^[ref]

After two control scans near $34{}^{\circ }\mathrm{C}$ skin temperature, the suit cooled and then warmed the skin. Mean oral temperature was $36.6{}^{\circ }\mathrm{C}$ during both cooling and early warming; mean skin readings were $30.5$ and $38.2{}^{\circ }\mathrm{C}$. Cutaneous vascular conductance fell during cooling and rose during warming. The inference is that compensatory blood-flow responses can precede an appreciable internal temperature change. ^[ref]

Repeated baselines controlled comparison within participants; closed mouths reduced oral-probe cooling artifacts. A later control with reduced oral temperature was excluded. Oral temperature is a proxy, local flow is not whole-body heat transfer, and the fixed condition order leaves time effects possible. Brain imaging measured regional blood flow, not direct neuron firing or causal necessity. ^[ref]

Slow-wave sleep is a deep stage of non-rapid eye movement sleep characterized by prominent slow, high-amplitude activity in an electroencephalography recording. It is a physiological classification based on measured brain activity and other sleep criteria, rather than simply an unusually motionless posture. In current human staging it broadly corresponds to N3. ^[ref]

Sleep-stage identification can guide interventions. In a human experiment, an odour associated with earlier learning was presented again during slow-wave sleep; subsequent declarative-memory performance was compared with control conditions. ^[ref] This links a defined physiological state to an experimentally timed cue; it does not establish that every kind of memory depends exclusively on that one stage.

A researcher who coauthored comparisons of neural-network connectivity in children who stutter. The work related developmental speech differences to interacting pathways rather than assigning fluency to one isolated brain location.^[ref]

Brain Research 365, 350–354. Primary abstract for stimulus positions relative to modality-specific receptive fields.