Validating silicon polytrodes with paired juxtacellular recordings: method and dataset.
Cross-validating new methods for recording neural activity is necessary to accurately interpret and compare the signals they measure. Here we describe a procedure for precisely aligning two probes for in vivo "paired-recordings" such that the spiking activity of a single neuron is monitored with both a dense extracellular silicon polytrode and a juxtacellular micropipette. Our new method allows for efficient, reliable, and automated guidance of both probes to the same neural structure with micrometer resolution. We also describe a new dataset of paired-recordings, which is available online. We propose that our novel targeting system, and ever expanding cross-validation dataset, will be vital to the development of new algorithms for automatically detecting/sorting single-units, characterizing new electrode materials/designs, and resolving nagging questions regarding the origin and nature of extracellular neural signals.
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal; Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, Portugal; Sainsbury Wellcome Centre, University College London, London, United Kingdom joana.neto@neuro.fchampalimaud.org.
Joana P
JP
Neto
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal; Sainsbury Wellcome Centre, University College London, London, United Kingdom.
Gonçalo
G
Lopes
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
João
J
Frazão
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal; Sainsbury Wellcome Centre, University College London, London, United Kingdom.
Joana
J
Nogueira
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
Pedro
P
Lacerda
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal;
Pedro
P
Baião
ATLAS Neuroengineering; and.
Arno
A
Aarts
IMEC, Leuven, Belgium;
Alexandru
A
Andrei
IMEC, Leuven, Belgium;
Silke
S
Musa
Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, Portugal;
Elvira
E
Fortunato
Departamento de Ciência dos Materiais, CENIMAT/I3N and CEMOP/Uninova, Caparica, Portugal;
Pedro
P
Barquinha
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal; Sainsbury Wellcome Centre, University College London, London, United Kingdom.
Adam R
AR
Kampff
D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D066264:Datasets as Topic; D004594:Electrophysiology / Q000295:instrumentation*; D005260:Female; D008297:Male; D008839:Microelectrodes; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D051381:Rats; D020318:Rats, Long-Evans; D012815:Signal Processing, Computer-Assisted; D012825:Silicon / Q000737:chemistry*
D012825:Silicon
extracellular action potential; ground truth; juxtacellular recording; polytrodes; spike sorting