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Uncertainty in Multiclass Classification

Dr. Rishabh Pathak
1. What is Uncertainty in Classification? Uncertainty refers to the model’s confidence or doubt in its predictions. Quantifying uncertainty is important to understand how reliable each prediction is. In multiclass classification , uncertainty estimates provide probabilities over multiple classes, reflecting how sure the model is about each possible class. 2. Methods to Estimate Uncertainty in Multiclass Classification Most multiclass classifiers provide methods such as: predict_proba: Returns a probability distribution across all classes. decision_function: Returns scores or margins for each class (sometimes called raw or uncalibrated confidence scores). The probability distribution from predict_proba captures the uncertainty by assigning a probability to each class. 3. Shape and Interpretation of predict_proba in Multiclass Output shape: (n_samples, n_classes) Each row corresponds to the probabilities of ...
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Distinguishing Features of Photic Stimulation Responses

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Dr. Rishabh Pathak

Distinguishing features of Photic Stimulation Responses (PSR) are essential for differentiating between normal and abnormal responses, as well as for identifying specific types of responses. 

1.      Photic Driving Response vs. Photoparoxysmal Response:

§  Frequency Relationship: The photic driving response typically occurs at the same frequency as the light stimulation (e.g., a 10 Hz stimulus produces a 10 Hz response). In contrast, the photoparoxysmal response often has a frequency that is less than the stimulation frequency and does not maintain a harmonic relationship with it.

§  Continuation After Stimulation: The photic driving response ceases immediately after the stimulation ends, while photoparoxysmal responses may continue for several seconds after the light is turned off.

§  Waveform Characteristics: The photic driving response is characterized by sharply contoured, positive, monophasic transients, whereas photoparoxysmal responses typically exhibit spike-and-wave or polyspike-and-slow-wave patterns.

2.     Normal vs. Abnormal Responses:

§  Amplitude and Symmetry: A normal photic driving response may show some asymmetry in amplitude, but this should be consistent with other EEG features. An abnormal response may present with significant asymmetry or a marked decrease in amplitude, which could indicate underlying pathology.

§  Response to Stimulation Frequency: An abnormal photic driving response may occur at stimulation frequencies less than 3 Hz, which is associated with degenerative conditions. In contrast, normal responses typically occur at higher frequencies.

3.     Photic Myogenic Response:

§  This response is characterized by muscle artifacts that may occur during photic stimulation. It can be distinguished from true EEG responses by its waveform and location, which depend on head movements and are less consistent than the photic driving response.

4.    Clinical Context:

§  The presence of photoparoxysmal responses can support a diagnosis of epilepsy, especially if spontaneous seizures have occurred. However, these responses can also be found in healthy individuals, particularly in children and adolescents, making their presence less specific than interictal epileptiform discharges (IEDs).

5.     Artifact Consideration:

§  Clinicians must differentiate between true photic responses and artifacts caused by muscle activity or eye movements. Proper electrode placement and technique are crucial to minimize these artifacts and ensure accurate interpretation of the EEG.

Summary

Distinguishing features of Photic Stimulation Responses include the relationship of the response frequency to the stimulation frequency, the continuation of the response after stimulation, waveform characteristics, amplitude and symmetry, and the clinical context in which these responses occur. Understanding these features is vital for accurate diagnosis and management in clinical neurophysiology.

 

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